# Partial word match with singular and plurals: Elasticsearch

**URL:** <https://discuss.elastic.co/t/partial-word-match-with-singular-and-plurals-elasticsearch/17296>\
**Category:** Elasticsearch\
**Created:** [May 1, 2014, 7:48am UTC](https://discuss.elastic.co/t/partial-word-match-with-singular-and-plurals-elasticsearch/17296 "2014-05-01T07:48:37Z")\
**Posts on this page:** 8\
**Page:** 1

<div class="post-metadata">

**Author:** ![Kruti\_Shukla](https://avatars.discourse-cdn.com/v4/letter/k/45deac/32.png) [@Kruti\_Shukla](https://discuss.elastic.co/u/Kruti_Shukla)\
**Post date:** [May 1, 2014, 7:48am UTC](https://discuss.elastic.co/t/partial-word-match-with-singular-and-plurals-elasticsearch/17296/1 "2014-05-01T07:48:37Z")

</div>

_My final goal is to have following search precedence:_

1. Exact phrase match
2. Exact word match with incremental distance
3. Plurals
4. Substring

_Suppose I have following documents:_  
i. men’s shaver  
ii. men’s shavers  
iii. men’s foil shaver  
iv. men’s foils shaver  
v. men’s foil shavers  
vi. men’s foils shavers

\*Case 1: \*search for : “men’s foil shaver”  
_Expected result:_

1. men’s foil shaver \<------ exact phrase match
2. men’s foil shavers \<------ exact word match on 2 of 3 words with 0 word  
distance + plural
3. men’s foils shaver \<------ exact word match on 2 of 3 words with 1 word  
distance + plural
4. men’s foils shavers \<------ exact word match on 1 of 3 words + 2 plurals
5. men’s shaver \<------ exact word match on 2 of 3 words (66% match)
6. men’s shavers \<------ exact word match on 1 of 3 words + plural (66%  
match)

\*Case 2: \*search for : “men’s foil shavers”  
_Expected result:_

1. men’s foil shavers \<------ exact phrase match
2. men’s foil shaver \<------ exact word match on 2 of 3 words with 0 word  
distance + singular
3. men’s foils shavers \<------ exact word match on 2 of 3 words with 1 word  
distance + singular
4. men’s foils shaver \<------ exact word match on 1 of 3 words + 2 singulars
5. men’s shavers \<------ exact word match on 2 of 3 words (66% match)
6. men’s shaver \<------ exact word match on 1 of 3 words + singular (66%  
match)

_Case 3:_ search for : “men’s foils shavers”  
_Expected result:_

1. men’s foils shavers \<------ exact phrase match
2. men’s foils shaver \<------ exact word match on 2 of 3 words with 0 word  
distance + singular
3. men’s foil shavers \<------ exact word match on 2 of 3 words with 1 word  
distance + singular
4. men’s foil shaver \<------ exact word match on 1 of 3 words + 2 singulars
5. men’s shavers \<------ exact word match on 2 of 3 words (66% match)
6. men’s shaver \<------ exact word match on 1 of 3 words + singular (66%  
match)

Is there any way in elasticsearch I can achieve this?  
This question is related to my other question which is not answered yet.  
Link to my other question "  
[https://groups.google.com/forum/?utm\_medium=email&utm\_source=footer#!msg/elasticsearch/ui9OR7JARs4/Mp3oOtTqY0EJ](https://groups.google.com/forum/?utm_medium=email&utm_source=footer#!msg/elasticsearch/ui9OR7JARs4/Mp3oOtTqY0EJ)  
".

Any suggestion would help!  
Thank you.

--  
You received this message because you are subscribed to the Google Groups "elasticsearch" group.  
To unsubscribe from this group and stop receiving emails from it, send an email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
To view this discussion on the web visit [https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com).  
For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

---

<div class="post-metadata">

**Author:** ![radu\_gheorghe](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/radu_gheorghe/32/556_2.png) [@radu\_gheorghe](https://discuss.elastic.co/u/radu_gheorghe)\
**Post date:** [May 1, 2014, 11:26am UTC](https://discuss.elastic.co/t/partial-word-match-with-singular-and-plurals-elasticsearch/17296/2 "2014-05-01T11:26:02Z")

</div>

Hi Kruti,

The short answer is yes, it is possible. Here's one way to do it:

Have the fields you search on as multi  
field[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/\_multi\_fields.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/_multi_fields.html),  
where you index them with various settings, like once not-analyzed for  
exact matches, once with ngrams to account for typoes and so on. You can  
query all those sub-fields, and use the multi-match query with best  
fields[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields)or  
the DisMax  
query[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-dis-max-query.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-dis-max-query.html)to  
wrap all those queries and take the best score (or the best score and  
a  
factor of the other scores by using the tie breaker).

Now, for the specific requirements you have:

1. For exact matching, you can skip analysis altogether, and set "index" to  
"not\_anyzed". Alternatively, you could use the simple  
analyzer[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-simple-analyzer.html#analysis-simple-analyzer](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-simple-analyzer.html#analysis-simple-analyzer)  
or  
something equally "harmless" to allow for some error. You could boost this  
kind of query a lot, so that exact matches come out on top
2. For phrase matches with distance, you can use the match\_phrase type of  
the match query[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#\_phrase](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#_phrase).  
You can configure a _slop_ that defines the maximum allowed distance for a  
match to show up in your results. Documents with "closer" words should get  
higher scores. You would boost this query less than the exact matches, but  
more than the following.
3. For handling plurals, you'd probably need to do some stemming. Have a  
look at the snowball token  
filter[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html)or  
the stemmer  
token filter[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html#analysis-stemmer-tokenfilter](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html#analysis-stemmer-tokenfilter).  
Again, this would be boosted lower than 1) and 2), but more than 4)
4. For handling substrings, you can use ngrams, as you already seem to be  
doing. Alternatively, you can pay the price at query time by using the  
"fuziness" option of the match query.

## Best regards, Radu

Performance Monitoring \* Log Analytics \* Search Analytics  
Solr & Elasticsearch Support \* [http://sematext.com/](http://sematext.com/)

On Thu, May 1, 2014 at 10:48 AM, Kruti Shukla [krutibhatt17@gmail.com](mailto:krutibhatt17@gmail.com)wrote:

> _My final goal is to have following search precedence:_
> 
> 1. Exact phrase match
> 2. Exact word match with incremental distance
> 3. Plurals
> 4. Substring
> 
> _Suppose I have following documents:_  
> i. men’s shaver  
> ii. men’s shavers  
> iii. men’s foil shaver  
> iv. men’s foils shaver  
> v. men’s foil shavers  
> vi. men’s foils shavers
> 
> \*Case 1: \*search for : “men’s foil shaver”  
> _Expected result:_
> 
> 1. men’s foil shaver \<------ exact phrase match
> 2. men’s foil shavers \<------ exact word match on 2 of 3 words with 0  
> word distance + plural
> 3. men’s foils shaver \<------ exact word match on 2 of 3 words with 1  
> word distance + plural
> 4. men’s foils shavers \<------ exact word match on 1 of 3 words + 2  
> plurals
> 5. men’s shaver \<------ exact word match on 2 of 3 words (66% match)
> 6. men’s shavers \<------ exact word match on 1 of 3 words + plural (66%  
> match)
> 
> \*Case 2: \*search for : “men’s foil shavers”  
> _Expected result:_
> 
> 1. men’s foil shavers \<------ exact phrase match
> 2. men’s foil shaver \<------ exact word match on 2 of 3 words with 0 word  
> distance + singular
> 3. men’s foils shavers \<------ exact word match on 2 of 3 words with 1  
> word distance + singular
> 4. men’s foils shaver \<------ exact word match on 1 of 3 words + 2  
> singulars
> 5. men’s shavers \<------ exact word match on 2 of 3 words (66% match)
> 6. men’s shaver \<------ exact word match on 1 of 3 words + singular (66%  
> match)
> 
> _Case 3:_ search for : “men’s foils shavers”  
> _Expected result:_
> 
> 1. men’s foils shavers \<------ exact phrase match
> 2. men’s foils shaver \<------ exact word match on 2 of 3 words with 0  
> word distance + singular
> 3. men’s foil shavers \<------ exact word match on 2 of 3 words with 1  
> word distance + singular
> 4. men’s foil shaver \<------ exact word match on 1 of 3 words + 2  
> singulars
> 5. men’s shavers \<------ exact word match on 2 of 3 words (66% match)
> 6. men’s shaver \<------ exact word match on 1 of 3 words + singular (66%  
> match)
> 
> Is there any way in elasticsearch I can achieve this?  
> This question is related to my other question which is not answered yet.  
> Link to my other question "  
> [Redirecting to Google Groups](https://groups.google.com/forum/?utm_medium=email&utm_source=footer#!msg/elasticsearch/ui9OR7JARs4/Mp3oOtTqY0EJ)  
> ".
> 
> Any suggestion would help!  
> Thank you.
> 
> --  
> You received this message because you are subscribed to the Google Groups  
> "elasticsearch" group.  
> To unsubscribe from this group and stop receiving emails from it, send an  
> email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
> To view this discussion on the web visit  
> [https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com)[https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com?utm_medium=email&utm_source=footer)  
> .  
> For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

--  
You received this message because you are subscribed to the Google Groups "elasticsearch" group.  
To unsubscribe from this group and stop receiving emails from it, send an email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
To view this discussion on the web visit [https://groups.google.com/d/msgid/elasticsearch/CAHXA0\_2EbGEEPrs0Gsf1hyNcyUE\_JecusAgwfyR6xdh6RsamcA%40mail.gmail.com](https://groups.google.com/d/msgid/elasticsearch/CAHXA0_2EbGEEPrs0Gsf1hyNcyUE_JecusAgwfyR6xdh6RsamcA%40mail.gmail.com).  
For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

---

<div class="post-metadata">

**Author:** ![Kruti\_Shukla](https://avatars.discourse-cdn.com/v4/letter/k/45deac/32.png) [@Kruti\_Shukla](https://discuss.elastic.co/u/Kruti_Shukla)\
**Post date:** [May 1, 2014, 12:37pm UTC](https://discuss.elastic.co/t/partial-word-match-with-singular-and-plurals-elasticsearch/17296/3 "2014-05-01T12:37:09Z")

</div>

Hi Radu,

Thank you so for the suggestions. I was knowing mul-field but was not  
knowing how helpful it can be but now I'm able play with the multi field  
feature.  
I tried following suggestion and created index and mapping accordingly.

I tried querying for first 2. First one was simple and second one with  
slop. It is not returning correct slop(i,e, incremental distance).  
Please help/suggest query improvements.

_Please see my settings below:_

\*For index: \*  
curl -XPUT "[http://localhost:9200/my\_improved\_index](http://localhost:9200/my_improved_index)" -d'  
{  
"settings": {  
"analysis": {  
"filter": {  
"trigrams\_filter": {  
"type": "ngram",  
"min\_gram": 1,  
"max\_gram": 50  
},  
"my\_stemmer" : {  
"type" : "stemmer",  
"name" : "minimal\_english"  
}  
},  
"analyzer": {  
"trigrams": {  
"type": "custom",  
"tokenizer": "standard",  
"filter": [  
"standard",  
"lowercase",  
"trigrams\_filter"  
]  
},  
"my\_stemmer\_analyzer":{  
"type": "custom",  
"tokenizer": "standard",  
"filter": [  
"standard",  
"lowercase",  
"my\_stemmer"  
]  
}  
}  
}  
}  
}'

_For mappings:_  
curl -XPUT  
"[http://localhost:9200/my\_improved\_index/my\_improved\_index\_type/\_mapping](http://localhost:9200/my_improved_index/my_improved_index_type/_mapping)"  
-d'  
{  
"my\_improved\_index\_type": {  
"properties": {  
"name": {  
"type": "multi\_field",  
"fields": {  
"name\_gram": {  
"type": "string",  
"analyzer": "trigrams"  
},  
"untouched": {  
"type": "string",  
"index": "not\_analyzed"  
},  
"name\_stemmer":{  
"type": "string",  
"analyzer": "my\_stemmer\_analyzer"  
}  
}  
}  
}  
}

}'

_Available documents:_

1. men’s shaver
2. men’s shavers
3. 

```
men’s foil shaver

```

4. men’s foils shaver
5. men’s foil shavers
6. men’s foils shavers
7. men's foil advanced shaver
8. norelco men's foil advanced shaver

_Query:_  
curl -XPOST  
"[http://localhost:9200/my\_improved\_index/my\_improved\_index\_type/\_search](http://localhost:9200/my_improved_index/my_improved_index_type/_search)" -d'  
{  
"size": 30,  
"query": {  
"bool": {  
"should": [  
{  
"match": {  
"name.untouched": {  
"query": "men"s shaver",  
"operator": "and",  
"type": "phrase",  
"boost": "10"  
}  
}  
},  
{  
"match\_phrase": {  
"name.name\_stemmer": {  
"query": "men"s shaver",  
"slop": 5  
}  
}  
}  
]  
}  
}  
}'

_Returned result:_

1. men's shaver --\> correct
2. men's shavers --\> correct
3. men's foils shaver --\> NOT correct
4. norelco men's foil advanced shaver --\> NOT correct
5. men's foil advanced shaver --\> NOT correct
6. men's foil shaver --\> NOT correct.

_Expected result:_

1. men's shaver --\> exact phrase match
2. men's shavers --\> ZERO word distance + 1 plural
3. men's foil shaver --\> 1 word distance
4. men's foils shaver --\> 1 word distance + 1 plural
5. men's foil advanced shaver --\> 2 word distance
6. norelco men's foil advanced shaver --\> 2 word distance

Why higher distance document scored higher?  
Is there any problem with stemmer or nGram settings?

On Thursday, May 1, 2014 7:26:02 AM UTC-4, Radu Gheorghe wrote:

> Hi Kruti,
> 
> The short answer is yes, it is possible. Here's one way to do it:
> 
> Have the fields you search on as multi field[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/\_multi\_fields.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/_multi_fields.html),  
> where you index them with various settings, like once not-analyzed for  
> exact matches, once with ngrams to account for typoes and so on. You can  
> query all those sub-fields, and use the multi-match query with best fields[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields)or the DisMax  
> query[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-dis-max-query.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-dis-max-query.html)to wrap all those queries and take the best score (or the best score and a  
> factor of the other scores by using the tie breaker).
> 
> Now, for the specific requirements you have:
> 
> 1. For exact matching, you can skip analysis altogether, and set "index"  
> to "not\_anyzed". Alternatively, you could use the simple analyzer[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-simple-analyzer.html#analysis-simple-analyzer](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-simple-analyzer.html#analysis-simple-analyzer) or  
> something equally "harmless" to allow for some error. You could boost this  
> kind of query a lot, so that exact matches come out on top
> 2. For phrase matches with distance, you can use the match\_phrase type of  
> the match query[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#\_phrase](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#_phrase).  
> You can configure a _slop_ that defines the maximum allowed distance for  
> a match to show up in your results. Documents with "closer" words should  
> get higher scores. You would boost this query less than the exact matches,  
> but more than the following.
> 3. For handling plurals, you'd probably need to do some stemming. Have a  
> look at the snowball token filter[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html)or the stemmer  
> token filter[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html#analysis-stemmer-tokenfilter](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html#analysis-stemmer-tokenfilter).  
> Again, this would be boosted lower than 1) and 2), but more than 4)
> 4. For handling substrings, you can use ngrams, as you already seem to be  
> doing. Alternatively, you can pay the price at query time by using the  
> "fuziness" option of the match query.
> 
> ## Best regards, Radu
> 
> Performance Monitoring \* Log Analytics \* Search Analytics  
> Solr & Elasticsearch Support \* [http://sematext.com/](http://sematext.com/)
> 
> On Thu, May 1, 2014 at 10:48 AM, Kruti Shukla \<[krutib...@gmail.com](mailto:krutib...@gmail.com)\<javascript:\>
> 
> > wrote:
> 
> > _My final goal is to have following search precedence:_
> > 
> > 1. Exact phrase match
> > 2. Exact word match with incremental distance
> > 3. Plurals
> > 4. Substring
> > 
> > _Suppose I have following documents:_  
> > i. men’s shaver  
> > ii. men’s shavers  
> > iii. men’s foil shaver  
> > iv. men’s foils shaver  
> > v. men’s foil shavers  
> > vi. men’s foils shavers
> > 
> > \*Case 1: \*search for : “men’s foil shaver”  
> > _Expected result:_
> > 
> > 1. men’s foil shaver \<------ exact phrase match
> > 2. men’s foil shavers \<------ exact word match on 2 of 3 words with 0  
> > word distance + plural
> > 3. men’s foils shaver \<------ exact word match on 2 of 3 words with 1  
> > word distance + plural
> > 4. men’s foils shavers \<------ exact word match on 1 of 3 words + 2  
> > plurals
> > 5. men’s shaver \<------ exact word match on 2 of 3 words (66% match)
> > 6. men’s shavers \<------ exact word match on 1 of 3 words + plural (66%  
> > match)
> > 
> > \*Case 2: \*search for : “men’s foil shavers”  
> > _Expected result:_
> > 
> > 1. men’s foil shavers \<------ exact phrase match
> > 2. men’s foil shaver \<------ exact word match on 2 of 3 words with 0  
> > word distance + singular
> > 3. men’s foils shavers \<------ exact word match on 2 of 3 words with 1  
> > word distance + singular
> > 4. men’s foils shaver \<------ exact word match on 1 of 3 words + 2  
> > singulars
> > 5. men’s shavers \<------ exact word match on 2 of 3 words (66% match)
> > 6. men’s shaver \<------ exact word match on 1 of 3 words + singular (66%  
> > match)
> > 
> > _Case 3:_ search for : “men’s foils shavers”  
> > _Expected result:_
> > 
> > 1. men’s foils shavers \<------ exact phrase match
> > 2. men’s foils shaver \<------ exact word match on 2 of 3 words with 0  
> > word distance + singular
> > 3. men’s foil shavers \<------ exact word match on 2 of 3 words with 1  
> > word distance + singular
> > 4. men’s foil shaver \<------ exact word match on 1 of 3 words + 2  
> > singulars
> > 5. men’s shavers \<------ exact word match on 2 of 3 words (66% match)
> > 6. men’s shaver \<------ exact word match on 1 of 3 words + singular (66%  
> > match)
> > 
> > Is there any way in elasticsearch I can achieve this?  
> > This question is related to my other question which is not answered yet.  
> > Link to my other question "  
> > [Redirecting to Google Groups](https://groups.google.com/forum/?utm_medium=email&utm_source=footer#!msg/elasticsearch/ui9OR7JARs4/Mp3oOtTqY0EJ)  
> > ".
> > 
> > Any suggestion would help!  
> > Thank you.
> > 
> > --  
> > You received this message because you are subscribed to the Google Groups  
> > "elasticsearch" group.  
> > To unsubscribe from this group and stop receiving emails from it, send an  
> > email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com) \<javascript:\>.  
> > To view this discussion on the web visit  
> > [https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com)[https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > .  
> > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

--  
You received this message because you are subscribed to the Google Groups "elasticsearch" group.  
To unsubscribe from this group and stop receiving emails from it, send an email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
To view this discussion on the web visit [https://groups.google.com/d/msgid/elasticsearch/ddfb4a67-8bfa-4e42-9979-33fab08dcef3%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/ddfb4a67-8bfa-4e42-9979-33fab08dcef3%40googlegroups.com).  
For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

---

<div class="post-metadata">

**Author:** ![Kruti\_Shukla](https://avatars.discourse-cdn.com/v4/letter/k/45deac/32.png) [@Kruti\_Shukla](https://discuss.elastic.co/u/Kruti_Shukla)\
**Post date:** [May 2, 2014, 10:40am UTC](https://discuss.elastic.co/t/partial-word-match-with-singular-and-plurals-elasticsearch/17296/4 "2014-05-02T10:40:55Z")

</div>

Any help?  
Why higher distance document scored higher?  
Is there any problem with stemmer or nGram settings?

On Thursday, May 1, 2014 8:37:09 AM UTC-4, Kruti Shukla wrote:

> Hi Radu,
> 
> Thank you so for the suggestions. I was knowing mul-field but was not  
> knowing how helpful it can be but now I'm able play with the multi field  
> feature.  
> I tried following suggestion and created index and mapping accordingly.
> 
> I tried querying for first 2. First one was simple and second one with  
> slop. It is not returning correct slop(i,e, incremental distance).  
> Please help/suggest query improvements.
> 
> _Please see my settings below:_
> 
> \*For index: \*  
> curl -XPUT "[http://localhost:9200/my\_improved\_index](http://localhost:9200/my_improved_index)" -d'  
> {  
> "settings": {  
> "analysis": {  
> "filter": {  
> "trigrams\_filter": {  
> "type": "ngram",  
> "min\_gram": 1,  
> "max\_gram": 50  
> },  
> "my\_stemmer" : {  
> "type" : "stemmer",  
> "name" : "minimal\_english"  
> }  
> },  
> "analyzer": {  
> "trigrams": {  
> "type": "custom",  
> "tokenizer": "standard",  
> "filter": [  
> "standard",  
> "lowercase",  
> "trigrams\_filter"  
> ]  
> },  
> "my\_stemmer\_analyzer":{  
> "type": "custom",  
> "tokenizer": "standard",  
> "filter": [  
> "standard",  
> "lowercase",  
> "my\_stemmer"  
> ]  
> }  
> }  
> }  
> }  
> }'
> 
> _For mappings:_  
> curl -XPUT "  
> [http://localhost:9200/my\_improved\_index/my\_improved\_index\_type/\_mapping](http://localhost:9200/my_improved_index/my_improved_index_type/_mapping)"  
> -d'  
> {  
> "my\_improved\_index\_type": {  
> "properties": {  
> "name": {  
> "type": "multi\_field",  
> "fields": {  
> "name\_gram": {  
> "type": "string",  
> "analyzer": "trigrams"  
> },  
> "untouched": {  
> "type": "string",  
> "index": "not\_analyzed"  
> },  
> "name\_stemmer":{  
> "type": "string",  
> "analyzer": "my\_stemmer\_analyzer"  
> }  
> }  
> }  
> }  
> }
> 
> }'
> 
> _Available documents:_
> 
> 1. men’s shaver
> 2. men’s shavers
> 3. 
> 
> ```
> men’s foil shaver
> 
> ```
> 
> 4. men’s foils shaver
> 5. men’s foil shavers
> 6. men’s foils shavers
> 7. men's foil advanced shaver
> 8. norelco men's foil advanced shaver
> 
> _Query:_  
> curl -XPOST "  
> [http://localhost:9200/my\_improved\_index/my\_improved\_index\_type/\_search](http://localhost:9200/my_improved_index/my_improved_index_type/_search)"  
> -d'  
> {  
> "size": 30,  
> "query": {  
> "bool": {  
> "should": [  
> {  
> "match": {  
> "name.untouched": {  
> "query": "men"s shaver",  
> "operator": "and",  
> "type": "phrase",  
> "boost": "10"  
> }  
> }  
> },  
> {  
> "match\_phrase": {  
> "name.name\_stemmer": {  
> "query": "men"s shaver",  
> "slop": 5  
> }  
> }  
> }  
> ]  
> }  
> }  
> }'
> 
> _Returned result:_
> 
> 1. men's shaver --\> correct
> 2. men's shavers --\> correct
> 3. men's foils shaver --\> NOT correct
> 4. norelco men's foil advanced shaver --\> NOT correct
> 5. men's foil advanced shaver --\> NOT correct
> 6. men's foil shaver --\> NOT correct.
> 
> _Expected result:_
> 
> 1. men's shaver --\> exact phrase match
> 2. men's shavers --\> ZERO word distance + 1 plural
> 3. men's foil shaver --\> 1 word distance
> 4. men's foils shaver --\> 1 word distance + 1 plural
> 5. men's foil advanced shaver --\> 2 word distance
> 6. norelco men's foil advanced shaver --\> 2 word distance
> 
> Why higher distance document scored higher?  
> Is there any problem with stemmer or nGram settings?
> 
> On Thursday, May 1, 2014 7:26:02 AM UTC-4, Radu Gheorghe wrote:
> 
> > Hi Kruti,
> > 
> > The short answer is yes, it is possible. Here's one way to do it:
> > 
> > Have the fields you search on as multi field[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/\_multi\_fields.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/_multi_fields.html),  
> > where you index them with various settings, like once not-analyzed for  
> > exact matches, once with ngrams to account for typoes and so on. You can  
> > query all those sub-fields, and use the multi-match query with best  
> > fields[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields)or the DisMax  
> > query[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-dis-max-query.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-dis-max-query.html)to wrap all those queries and take the best score (or the best score and a  
> > factor of the other scores by using the tie breaker).
> > 
> > Now, for the specific requirements you have:
> > 
> > 1. For exact matching, you can skip analysis altogether, and set "index"  
> > to "not\_anyzed". Alternatively, you could use the simple analyzer[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-simple-analyzer.html#analysis-simple-analyzer](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-simple-analyzer.html#analysis-simple-analyzer) or  
> > something equally "harmless" to allow for some error. You could boost this  
> > kind of query a lot, so that exact matches come out on top
> > 2. For phrase matches with distance, you can use the match\_phrase type  
> > of the match query[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#\_phrase](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#_phrase).  
> > You can configure a _slop_ that defines the maximum allowed distance for  
> > a match to show up in your results. Documents with "closer" words should  
> > get higher scores. You would boost this query less than the exact matches,  
> > but more than the following.
> > 3. For handling plurals, you'd probably need to do some stemming. Have a  
> > look at the snowball token filter[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html)or the stemmer  
> > token filter[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html#analysis-stemmer-tokenfilter](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html#analysis-stemmer-tokenfilter).  
> > Again, this would be boosted lower than 1) and 2), but more than 4)
> > 4. For handling substrings, you can use ngrams, as you already seem to be  
> > doing. Alternatively, you can pay the price at query time by using the  
> > "fuziness" option of the match query.
> > 
> > ## Best regards, Radu
> > 
> > Performance Monitoring \* Log Analytics \* Search Analytics  
> > Solr & Elasticsearch Support \* [http://sematext.com/](http://sematext.com/)
> > 
> > On Thu, May 1, 2014 at 10:48 AM, Kruti Shukla [krutib...@gmail.com](mailto:krutib...@gmail.com)wrote:
> > 
> > > _My final goal is to have following search precedence:_
> > > 
> > > 1. Exact phrase match
> > > 2. Exact word match with incremental distance
> > > 3. Plurals
> > > 4. Substring
> > > 
> > > _Suppose I have following documents:_  
> > > i. men’s shaver  
> > > ii. men’s shavers  
> > > iii. men’s foil shaver  
> > > iv. men’s foils shaver  
> > > v. men’s foil shavers  
> > > vi. men’s foils shavers
> > > 
> > > \*Case 1: \*search for : “men’s foil shaver”  
> > > _Expected result:_
> > > 
> > > 1. men’s foil shaver \<------ exact phrase match
> > > 2. men’s foil shavers \<------ exact word match on 2 of 3 words with 0  
> > > word distance + plural
> > > 3. men’s foils shaver \<------ exact word match on 2 of 3 words with 1  
> > > word distance + plural
> > > 4. men’s foils shavers \<------ exact word match on 1 of 3 words + 2  
> > > plurals
> > > 5. men’s shaver \<------ exact word match on 2 of 3 words (66% match)
> > > 6. men’s shavers \<------ exact word match on 1 of 3 words + plural (66%  
> > > match)
> > > 
> > > \*Case 2: \*search for : “men’s foil shavers”  
> > > _Expected result:_
> > > 
> > > 1. men’s foil shavers \<------ exact phrase match
> > > 2. men’s foil shaver \<------ exact word match on 2 of 3 words with 0  
> > > word distance + singular
> > > 3. men’s foils shavers \<------ exact word match on 2 of 3 words with 1  
> > > word distance + singular
> > > 4. men’s foils shaver \<------ exact word match on 1 of 3 words + 2  
> > > singulars
> > > 5. men’s shavers \<------ exact word match on 2 of 3 words (66% match)
> > > 6. men’s shaver \<------ exact word match on 1 of 3 words + singular  
> > > (66% match)
> > > 
> > > _Case 3:_ search for : “men’s foils shavers”  
> > > _Expected result:_
> > > 
> > > 1. men’s foils shavers \<------ exact phrase match
> > > 2. men’s foils shaver \<------ exact word match on 2 of 3 words with 0  
> > > word distance + singular
> > > 3. men’s foil shavers \<------ exact word match on 2 of 3 words with 1  
> > > word distance + singular
> > > 4. men’s foil shaver \<------ exact word match on 1 of 3 words + 2  
> > > singulars
> > > 5. men’s shavers \<------ exact word match on 2 of 3 words (66% match)
> > > 6. men’s shaver \<------ exact word match on 1 of 3 words + singular  
> > > (66% match)
> > > 
> > > Is there any way in elasticsearch I can achieve this?  
> > > This question is related to my other question which is not answered yet.  
> > > Link to my other question "  
> > > [Redirecting to Google Groups](https://groups.google.com/forum/?utm_medium=email&utm_source=footer#!msg/elasticsearch/ui9OR7JARs4/Mp3oOtTqY0EJ)  
> > > ".
> > > 
> > > Any suggestion would help!  
> > > Thank you.
> > > 
> > > --  
> > > You received this message because you are subscribed to the Google  
> > > Groups "elasticsearch" group.  
> > > To unsubscribe from this group and stop receiving emails from it, send  
> > > an email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com).  
> > > To view this discussion on the web visit  
> > > [https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com)[https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > .  
> > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

--  
You received this message because you are subscribed to the Google Groups "elasticsearch" group.  
To unsubscribe from this group and stop receiving emails from it, send an email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
To view this discussion on the web visit [https://groups.google.com/d/msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%40googlegroups.com).  
For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

---

<div class="post-metadata">

**Author:** ![radu\_gheorghe](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/radu_gheorghe/32/556_2.png) [@radu\_gheorghe](https://discuss.elastic.co/u/radu_gheorghe)\
**Post date:** [May 2, 2014, 12:30pm UTC](https://discuss.elastic.co/t/partial-word-match-with-singular-and-plurals-elasticsearch/17296/5 "2014-05-02T12:30:03Z")

</div>

Hello,

The exact match vs plural is probably because of the stemmer. As you have  
your fields and queries now, Elasticsearch has no way to boost individual  
exact word matches higher. To fix this, you can add another field where you  
just analyze the text using the standard analyzer (no stemming). Then add  
that to another query within your bool and exact word matches should be  
ranked higher. Though I would do a simple match for that (no phrase), to  
account for the case where one word is exact and one is plural -\> such a  
document should be ranked higher than if both are plurals. You'll get that  
with standard match because it looks for all terms, while match\_phrase will  
try to match the phrase with the given slop and none of those two documents  
will get hit.

I don't know why the higher distance document is scored higher in your case

- the 6th result should have been higher. Can you try with an index of one  
shard and see if results are any different?

Either way, you should get an explanation for each document's score by  
enabling Explain:

> **[Elastic — The Search AI Company](https://www.elastic.co)**
>
> Power insights and outcomes with The Elastic Search AI Platform. See into your data and find answers that matter with enterprise solutions designed to help you accelerate time to insight. Try Elastic ...

## Best regards, Radu

Performance Monitoring \* Log Analytics \* Search Analytics  
Solr & Elasticsearch Support \* [http://sematext.com/](http://sematext.com/)

On Fri, May 2, 2014 at 1:40 PM, Kruti Shukla [krutibhatt17@gmail.com](mailto:krutibhatt17@gmail.com) wrote:

> Any help?  
> Why higher distance document scored higher?  
> Is there any problem with stemmer or nGram settings?
> 
> On Thursday, May 1, 2014 8:37:09 AM UTC-4, Kruti Shukla wrote:
> 
> > Hi Radu,
> > 
> > Thank you so for the suggestions. I was knowing mul-field but was not  
> > knowing how helpful it can be but now I'm able play with the multi field  
> > feature.  
> > I tried following suggestion and created index and mapping accordingly.
> > 
> > I tried querying for first 2. First one was simple and second one with  
> > slop. It is not returning correct slop(i,e, incremental distance).  
> > Please help/suggest query improvements.
> > 
> > _Please see my settings below:_
> > 
> > \*For index: \*  
> > curl -XPUT "[http://localhost:9200/my\_improved\_index](http://localhost:9200/my_improved_index)" -d'  
> > {  
> > "settings": {  
> > "analysis": {  
> > "filter": {  
> > "trigrams\_filter": {  
> > "type": "ngram",  
> > "min\_gram": 1,  
> > "max\_gram": 50  
> > },  
> > "my\_stemmer" : {  
> > "type" : "stemmer",  
> > "name" : "minimal\_english"  
> > }  
> > },  
> > "analyzer": {  
> > "trigrams": {  
> > "type": "custom",  
> > "tokenizer": "standard",  
> > "filter": [  
> > "standard",  
> > "lowercase",  
> > "trigrams\_filter"  
> > ]  
> > },  
> > "my\_stemmer\_analyzer":{  
> > "type": "custom",  
> > "tokenizer": "standard",  
> > "filter": [  
> > "standard",  
> > "lowercase",  
> > "my\_stemmer"  
> > ]  
> > }  
> > }  
> > }  
> > }  
> > }'
> > 
> > _For mappings:_  
> > curl -XPUT "[http://localhost:9200/my\_improved\_index/my\_improved\_](http://localhost:9200/my_improved_index/my_improved_)  
> > index\_type/\_mapping" -d'  
> > {  
> > "my\_improved\_index\_type": {  
> > "properties": {  
> > "name": {  
> > "type": "multi\_field",  
> > "fields": {  
> > "name\_gram": {  
> > "type": "string",  
> > "analyzer": "trigrams"  
> > },  
> > "untouched": {  
> > "type": "string",  
> > "index": "not\_analyzed"  
> > },  
> > "name\_stemmer":{  
> > "type": "string",  
> > "analyzer": "my\_stemmer\_analyzer"  
> > }  
> > }  
> > }  
> > }  
> > }
> > 
> > }'
> > 
> > _Available documents:_
> > 
> > 1. men’s shaver
> > 2. men’s shavers
> > 3. 
> > 
> > ```
> > men’s foil shaver
> > 
> > ```
> > 
> > 4. men’s foils shaver
> > 5. men’s foil shavers
> > 6. men’s foils shavers
> > 7. men's foil advanced shaver
> > 8. norelco men's foil advanced shaver
> > 
> > _Query:_  
> > curl -XPOST "[http://localhost:9200/my\_improved\_index/my\_improved\_](http://localhost:9200/my_improved_index/my_improved_)  
> > index\_type/\_search" -d'  
> > {  
> > "size": 30,  
> > "query": {  
> > "bool": {  
> > "should": [  
> > {  
> > "match": {  
> > "name.untouched": {  
> > "query": "men"s shaver",  
> > "operator": "and",  
> > "type": "phrase",  
> > "boost": "10"  
> > }  
> > }  
> > },  
> > {  
> > "match\_phrase": {  
> > "name.name\_stemmer": {  
> > "query": "men"s shaver",  
> > "slop": 5  
> > }  
> > }  
> > }  
> > ]  
> > }  
> > }  
> > }'
> > 
> > _Returned result:_
> > 
> > 1. men's shaver --\> correct
> > 2. men's shavers --\> correct
> > 3. men's foils shaver --\> NOT correct
> > 4. norelco men's foil advanced shaver --\> NOT correct
> > 5. men's foil advanced shaver --\> NOT correct
> > 6. men's foil shaver --\> NOT correct.
> > 
> > _Expected result:_
> > 
> > 1. men's shaver --\> exact phrase match
> > 2. men's shavers --\> ZERO word distance + 1 plural
> > 3. men's foil shaver --\> 1 word distance
> > 4. men's foils shaver --\> 1 word distance + 1 plural
> > 5. men's foil advanced shaver --\> 2 word distance
> > 6. norelco men's foil advanced shaver --\> 2 word distance
> > 
> > Why higher distance document scored higher?  
> > Is there any problem with stemmer or nGram settings?
> > 
> > On Thursday, May 1, 2014 7:26:02 AM UTC-4, Radu Gheorghe wrote:
> > 
> > > Hi Kruti,
> > > 
> > > The short answer is yes, it is possible. Here's one way to do it:
> > > 
> > > Have the fields you search on as multi field[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/\_multi\_fields.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/_multi_fields.html),  
> > > where you index them with various settings, like once not-analyzed for  
> > > exact matches, once with ngrams to account for typoes and so on. You can  
> > > query all those sub-fields, and use the multi-match query with best  
> > > fields[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields)or the DisMax  
> > > query[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-dis-max-query.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-dis-max-query.html)to wrap all those queries and take the best score (or the best score and a  
> > > factor of the other scores by using the tie breaker).
> > > 
> > > Now, for the specific requirements you have:
> > > 
> > > 1. For exact matching, you can skip analysis altogether, and set "index"  
> > > to "not\_anyzed". Alternatively, you could use the simple analyzer[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-simple-analyzer.html#analysis-simple-analyzer](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-simple-analyzer.html#analysis-simple-analyzer) or  
> > > something equally "harmless" to allow for some error. You could boost this  
> > > kind of query a lot, so that exact matches come out on top
> > > 2. For phrase matches with distance, you can use the match\_phrase type  
> > > of the match query[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#\_phrase](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#_phrase).  
> > > You can configure a _slop_ that defines the maximum allowed distance  
> > > for a match to show up in your results. Documents with "closer" words  
> > > should get higher scores. You would boost this query less than the exact  
> > > matches, but more than the following.
> > > 3. For handling plurals, you'd probably need to do some stemming. Have a  
> > > look at the snowball token filter[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html)or the stemmer  
> > > token filter[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html#analysis-stemmer-tokenfilter](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html#analysis-stemmer-tokenfilter).  
> > > Again, this would be boosted lower than 1) and 2), but more than 4)
> > > 4. For handling substrings, you can use ngrams, as you already seem to  
> > > be doing. Alternatively, you can pay the price at query time by using the  
> > > "fuziness" option of the match query.
> > > 
> > > ## Best regards, Radu
> > > 
> > > Performance Monitoring \* Log Analytics \* Search Analytics  
> > > Solr & Elasticsearch Support \* [http://sematext.com/](http://sematext.com/)
> > > 
> > > On Thu, May 1, 2014 at 10:48 AM, Kruti Shukla [krutib...@gmail.com](mailto:krutib...@gmail.com)wrote:
> > > 
> > > > _My final goal is to have following search precedence:_
> > > > 
> > > > 1. Exact phrase match
> > > > 2. Exact word match with incremental distance
> > > > 3. Plurals
> > > > 4. Substring
> > > > 
> > > > _Suppose I have following documents:_  
> > > > i. men’s shaver  
> > > > ii. men’s shavers  
> > > > iii. men’s foil shaver  
> > > > iv. men’s foils shaver  
> > > > v. men’s foil shavers  
> > > > vi. men’s foils shavers
> > > > 
> > > > \*Case 1: \*search for : “men’s foil shaver”  
> > > > _Expected result:_
> > > > 
> > > > 1. men’s foil shaver \<------ exact phrase match
> > > > 2. men’s foil shavers \<------ exact word match on 2 of 3 words with 0  
> > > > word distance + plural
> > > > 3. men’s foils shaver \<------ exact word match on 2 of 3 words with 1  
> > > > word distance + plural
> > > > 4. men’s foils shavers \<------ exact word match on 1 of 3 words + 2  
> > > > plurals
> > > > 5. men’s shaver \<------ exact word match on 2 of 3 words (66% match)
> > > > 6. men’s shavers \<------ exact word match on 1 of 3 words + plural  
> > > > (66% match)
> > > > 
> > > > \*Case 2: \*search for : “men’s foil shavers”  
> > > > _Expected result:_
> > > > 
> > > > 1. men’s foil shavers \<------ exact phrase match
> > > > 2. men’s foil shaver \<------ exact word match on 2 of 3 words with 0  
> > > > word distance + singular
> > > > 3. men’s foils shavers \<------ exact word match on 2 of 3 words with 1  
> > > > word distance + singular
> > > > 4. men’s foils shaver \<------ exact word match on 1 of 3 words + 2  
> > > > singulars
> > > > 5. men’s shavers \<------ exact word match on 2 of 3 words (66% match)
> > > > 6. men’s shaver \<------ exact word match on 1 of 3 words + singular  
> > > > (66% match)
> > > > 
> > > > _Case 3:_ search for : “men’s foils shavers”  
> > > > _Expected result:_
> > > > 
> > > > 1. men’s foils shavers \<------ exact phrase match
> > > > 2. men’s foils shaver \<------ exact word match on 2 of 3 words with 0  
> > > > word distance + singular
> > > > 3. men’s foil shavers \<------ exact word match on 2 of 3 words with 1  
> > > > word distance + singular
> > > > 4. men’s foil shaver \<------ exact word match on 1 of 3 words + 2  
> > > > singulars
> > > > 5. men’s shavers \<------ exact word match on 2 of 3 words (66% match)
> > > > 6. men’s shaver \<------ exact word match on 1 of 3 words + singular  
> > > > (66% match)
> > > > 
> > > > Is there any way in elasticsearch I can achieve this?  
> > > > This question is related to my other question which is not answered yet.  
> > > > Link to my other question "[https://groups.google.com/](https://groups.google.com/)  
> > > > forum/?utm\_medium=email&utm\_source=footer#!msg/  
> > > > elasticsearch/ui9OR7JARs4/Mp3oOtTqY0EJ".
> > > > 
> > > > Any suggestion would help!  
> > > > Thank you.
> > > > 
> > > > --  
> > > > You received this message because you are subscribed to the Google  
> > > > Groups "elasticsearch" group.  
> > > > To unsubscribe from this group and stop receiving emails from it, send  
> > > > an email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com).  
> > > > To view this discussion on the web visit [https://groups.google.com/d/](https://groups.google.com/d/)  
> > > > msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%  
> > > > [40googlegroups.com](http://40googlegroups.com)[https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > .  
> > > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).
> > > 
> > > --  
> > > You received this message because you are subscribed to the Google Groups  
> > > "elasticsearch" group.  
> > > To unsubscribe from this group and stop receiving emails from it, send an  
> > > email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
> > > To view this discussion on the web visit  
> > > [https://groups.google.com/d/msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%40googlegroups.com)[https://groups.google.com/d/msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > .
> 
> For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

--  
You received this message because you are subscribed to the Google Groups "elasticsearch" group.  
To unsubscribe from this group and stop receiving emails from it, send an email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
To view this discussion on the web visit [https://groups.google.com/d/msgid/elasticsearch/CAHXA0\_1DacX546MFVoXDk2897q2SFC1VMzKLxg%3DQ-tqmsmoXwQ%40mail.gmail.com](https://groups.google.com/d/msgid/elasticsearch/CAHXA0_1DacX546MFVoXDk2897q2SFC1VMzKLxg%3DQ-tqmsmoXwQ%40mail.gmail.com).  
For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

---

<div class="post-metadata">

**Author:** ![Kruti\_Shukla](https://avatars.discourse-cdn.com/v4/letter/k/45deac/32.png) [@Kruti\_Shukla](https://discuss.elastic.co/u/Kruti_Shukla)\
**Post date:** [May 2, 2014, 1:10pm UTC](https://discuss.elastic.co/t/partial-word-match-with-singular-and-plurals-elasticsearch/17296/6 "2014-05-02T13:10:53Z")

</div>

Hi Radu,  
Thank you so much for your reply and suggestion. It is really helping me  
solving my query as well as knowledge on elasticsearch.

I now have index on only 1 shard. Results are some what improved.  
Added one more field with "standard" analyzer.

PUT /my\_improved\_index/my\_improved\_index\_type/\_mapping  
{  
"my\_improved\_index\_type": {  
"properties": {  
"name": {  
"type": "multi\_field",  
"fields": {  
"name\_gram": {  
"type": "string",  
"index\_analyzer": "trigrams"  
},  
"untouched": {  
"type": "string",  
"index": "not\_analyzed"  
},  
"name\_stemmer":{  
"type": "string",  
"analyzer": "my\_stemmer\_analyzer"  
},  
_"name\_standard":{_

- 

```
              "type": "string",*

```

- 

```
              "analyzer": "standard"*
         }
      }
   }
}

```

}

}

There are still problem with return result.  
_Query:_

curl -XPOST  
"[http://localhost:9200/my\_improved\_index/my\_improved\_index\_type/\_search](http://localhost:9200/my_improved_index/my_improved_index_type/_search)" -d'  
{  
"size": 30,  
"query": {  
"bool": {  
"should": [  
{  
"match": {  
"name.untouched": {  
"query": "men"s foil shaver",  
"operator": "and",  
"type": "phrase",  
"boost": "10"  
}  
}  
},  
{  
"match\_phrase": {  
"name.name\_stemmer": {  
"query": "men"s foil shaver",  
"slop": 5  
}  
}  
},  
\* {\*

- 

```
          "match": {*

```

- 

```
             "name.name_standard": {*

```

- 

```
                "query": "men\"s foil shaver"*

```

- 

```
             }*

```

- 

```
          }*

```

- 

```
       }*
   ]
}

```

}  
}'

_Returned result:_

1. men's foil shaver --\> score: 4.4437184
2. men's foils shaver --\> socre: 0.5215846
3. men's foil advanced shaver --\> score: 0.49008065 \* --\> should be 4th\*
4. norelco men's foil advanced shaver --\> score: 0.42882058 \* --\> should be  
5th\*  
_5. men's shaver --\> score: 0.04429976 --\> should be 6th_  
_6. men’s foil shavers --\> score: 0.010844119 --\> should be 3rd_
5. men's shavers --\> score: 0.010372223

Please suggest.. I tried having explain = true..but did not help much.

_Below is the explanation for 6th return result "men's foil shavers":_

{  
"\_shard": 0,  
"\_node": "VRNH3VrlTC2Tu6y\_GgDZbw",  
"\_index": "my\_improved\_index",  
"\_type": "my\_improved\_index\_type",  
"\_id": "35",  
"\_score": 0.010844119,  
"\_source": {  
"name": "men’s foil shavers"  
},  
"\_explanation": {  
"value": 0.010844119,  
"description": "product of:",  
"details": [  
{  
"value": 0.032532357,  
"description": "sum of:",  
"details": [  
{  
"value": 0.032532357,  
"description": "product of:",  
"details": [  
{  
"value": 0.09759706,  
"description": "sum of:",  
"details": [  
{  
"value": 0.09759706,  
"description":  
"weight(name.name\_standard:foil in 26) [PerFieldSimilarity], result of:",  
"details": [  
{  
"value": 0.09759706,  
"description":  
"score(doc=26,freq=1.0 = termFreq=1.0\n), product of:",  
"details": [  
{  
"value": 0.07266014,  
"description":  
"queryWeight, product of:",  
"details": [  
{  
"value": 2.686399,  
"description":  
"idf(docFreq=4, maxDocs=27)"  
},  
{  
"value":  
0.027047412,  
"description":  
"queryNorm"  
}  
]  
},  
{  
"value": 1.3431995,  
"description":  
"fieldWeight in 26, product of:",  
"details": [  
{  
"value": 1,  
"description":  
"tf(freq=1.0), with freq of:",  
"details": [  
{  
"value": 1,

"description": "termFreq=1.0"  
}  
]  
},  
{  
"value": 2.686399,  
"description":  
"idf(docFreq=4, maxDocs=27)"  
},  
{  
"value": 0.5,  
"description":  
"fieldNorm(doc=26)"  
}  
]  
}  
]  
}  
]  
}  
]  
},  
{  
"value": 0.33333334,  
"description": "coord(1/3)"  
}  
]  
}  
]  
},  
{  
"value": 0.33333334,  
"description": "coord(1/3)"  
}  
]  
}  
}

On Friday, May 2, 2014 8:30:03 AM UTC-4, Radu Gheorghe wrote:

> Hello,
> 
> The exact match vs plural is probably because of the stemmer. As you have  
> your fields and queries now, Elasticsearch has no way to boost individual  
> exact word matches higher. To fix this, you can add another field where you  
> just analyze the text using the standard analyzer (no stemming). Then add  
> that to another query within your bool and exact word matches should be  
> ranked higher. Though I would do a simple match for that (no phrase), to  
> account for the case where one word is exact and one is plural -\> such a  
> document should be ranked higher than if both are plurals. You'll get that  
> with standard match because it looks for all terms, while match\_phrase will  
> try to match the phrase with the given slop and none of those two documents  
> will get hit.
> 
> I don't know why the higher distance document is scored higher in your  
> case - the 6th result should have been higher. Can you try with an index of  
> one shard and see if results are any different?
> 
> Either way, you should get an explanation for each document's score by  
> enabling Explain:
> 
> [Elasticsearch Platform — Find real-time answers at scale | Elastic](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-request-explain.html)
> 
> ## Best regards, Radu
> 
> Performance Monitoring \* Log Analytics \* Search Analytics  
> Solr & Elasticsearch Support \* [http://sematext.com/](http://sematext.com/)
> 
> On Fri, May 2, 2014 at 1:40 PM, Kruti Shukla \<[krutib...@gmail.com](mailto:krutib...@gmail.com)\<javascript:\>
> 
> > wrote:
> 
> > Any help?  
> > Why higher distance document scored higher?  
> > Is there any problem with stemmer or nGram settings?
> > 
> > On Thursday, May 1, 2014 8:37:09 AM UTC-4, Kruti Shukla wrote:
> > 
> > > Hi Radu,
> > > 
> > > Thank you so for the suggestions. I was knowing mul-field but was not  
> > > knowing how helpful it can be but now I'm able play with the multi field  
> > > feature.  
> > > I tried following suggestion and created index and mapping accordingly.
> > > 
> > > I tried querying for first 2. First one was simple and second one with  
> > > slop. It is not returning correct slop(i,e, incremental distance).  
> > > Please help/suggest query improvements.
> > > 
> > > _Please see my settings below:_
> > > 
> > > \*For index: \*  
> > > curl -XPUT "[http://localhost:9200/my\_improved\_index](http://localhost:9200/my_improved_index)" -d'  
> > > {  
> > > "settings": {  
> > > "analysis": {  
> > > "filter": {  
> > > "trigrams\_filter": {  
> > > "type": "ngram",  
> > > "min\_gram": 1,  
> > > "max\_gram": 50  
> > > },  
> > > "my\_stemmer" : {  
> > > "type" : "stemmer",  
> > > "name" : "minimal\_english"  
> > > }  
> > > },  
> > > "analyzer": {  
> > > "trigrams": {  
> > > "type": "custom",  
> > > "tokenizer": "standard",  
> > > "filter": [  
> > > "standard",  
> > > "lowercase",  
> > > "trigrams\_filter"  
> > > ]  
> > > },  
> > > "my\_stemmer\_analyzer":{  
> > > "type": "custom",  
> > > "tokenizer": "standard",  
> > > "filter": [  
> > > "standard",  
> > > "lowercase",  
> > > "my\_stemmer"  
> > > ]  
> > > }  
> > > }  
> > > }  
> > > }  
> > > }'
> > > 
> > > _For mappings:_  
> > > curl -XPUT "[http://localhost:9200/my\_improved\_index/my\_improved\_](http://localhost:9200/my_improved_index/my_improved_)  
> > > index\_type/\_mapping" -d'  
> > > {  
> > > "my\_improved\_index\_type": {  
> > > "properties": {  
> > > "name": {  
> > > "type": "multi\_field",  
> > > "fields": {  
> > > "name\_gram": {  
> > > "type": "string",  
> > > "analyzer": "trigrams"  
> > > },  
> > > "untouched": {  
> > > "type": "string",  
> > > "index": "not\_analyzed"  
> > > },  
> > > "name\_stemmer":{  
> > > "type": "string",  
> > > "analyzer": "my\_stemmer\_analyzer"  
> > > }  
> > > }  
> > > }  
> > > }  
> > > }
> > > 
> > > }'
> > > 
> > > _Available documents:_
> > > 
> > > 1. men’s shaver
> > > 2. men’s shavers
> > > 3. 
> > > 
> > > ```
> > > men’s foil shaver
> > > 
> > > ```
> > > 
> > > 4. men’s foils shaver
> > > 5. men’s foil shavers
> > > 6. men’s foils shavers
> > > 7. men's foil advanced shaver
> > > 8. norelco men's foil advanced shaver
> > > 
> > > _Query:_  
> > > curl -XPOST "[http://localhost:9200/my\_improved\_index/my\_improved\_](http://localhost:9200/my_improved_index/my_improved_)  
> > > index\_type/\_search" -d'  
> > > {  
> > > "size": 30,  
> > > "query": {  
> > > "bool": {  
> > > "should": [  
> > > {  
> > > "match": {  
> > > "name.untouched": {  
> > > "query": "men"s shaver",  
> > > "operator": "and",  
> > > "type": "phrase",  
> > > "boost": "10"  
> > > }  
> > > }  
> > > },  
> > > {  
> > > "match\_phrase": {  
> > > "name.name\_stemmer": {  
> > > "query": "men"s shaver",  
> > > "slop": 5  
> > > }  
> > > }  
> > > }  
> > > ]  
> > > }  
> > > }  
> > > }'
> > > 
> > > _Returned result:_
> > > 
> > > 1. men's shaver --\> correct
> > > 2. men's shavers --\> correct
> > > 3. men's foils shaver --\> NOT correct
> > > 4. norelco men's foil advanced shaver --\> NOT correct
> > > 5. men's foil advanced shaver --\> NOT correct
> > > 6. men's foil shaver --\> NOT correct.
> > > 
> > > _Expected result:_
> > > 
> > > 1. men's shaver --\> exact phrase match
> > > 2. men's shavers --\> ZERO word distance + 1 plural
> > > 3. men's foil shaver --\> 1 word distance
> > > 4. men's foils shaver --\> 1 word distance + 1 plural
> > > 5. men's foil advanced shaver --\> 2 word distance
> > > 6. norelco men's foil advanced shaver --\> 2 word distance
> > > 
> > > Why higher distance document scored higher?  
> > > Is there any problem with stemmer or nGram settings?
> > > 
> > > On Thursday, May 1, 2014 7:26:02 AM UTC-4, Radu Gheorghe wrote:
> > > 
> > > > Hi Kruti,
> > > > 
> > > > The short answer is yes, it is possible. Here's one way to do it:
> > > > 
> > > > Have the fields you search on as multi field[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/\_multi\_fields.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/_multi_fields.html),  
> > > > where you index them with various settings, like once not-analyzed for  
> > > > exact matches, once with ngrams to account for typoes and so on. You can  
> > > > query all those sub-fields, and use the multi-match query with best  
> > > > fields[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields)or the DisMax  
> > > > query[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-dis-max-query.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-dis-max-query.html)to wrap all those queries and take the best score (or the best score and a  
> > > > factor of the other scores by using the tie breaker).
> > > > 
> > > > Now, for the specific requirements you have:
> > > > 
> > > > 1. For exact matching, you can skip analysis altogether, and set  
> > > > "index" to "not\_anyzed". Alternatively, you could use the simple  
> > > > analyzer[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-simple-analyzer.html#analysis-simple-analyzer](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-simple-analyzer.html#analysis-simple-analyzer) or  
> > > > something equally "harmless" to allow for some error. You could boost this  
> > > > kind of query a lot, so that exact matches come out on top
> > > > 2. For phrase matches with distance, you can use the match\_phrase type  
> > > > of the match query[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#\_phrase](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#_phrase).  
> > > > You can configure a _slop_ that defines the maximum allowed distance  
> > > > for a match to show up in your results. Documents with "closer" words  
> > > > should get higher scores. You would boost this query less than the exact  
> > > > matches, but more than the following.
> > > > 3. For handling plurals, you'd probably need to do some stemming. Have  
> > > > a look at the snowball token filter[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html)or the stemmer  
> > > > token filter[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html#analysis-stemmer-tokenfilter](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html#analysis-stemmer-tokenfilter).  
> > > > Again, this would be boosted lower than 1) and 2), but more than 4)
> > > > 4. For handling substrings, you can use ngrams, as you already seem to  
> > > > be doing. Alternatively, you can pay the price at query time by using the  
> > > > "fuziness" option of the match query.
> > > > 
> > > > ## Best regards, Radu
> > > > 
> > > > Performance Monitoring \* Log Analytics \* Search Analytics  
> > > > Solr & Elasticsearch Support \* [http://sematext.com/](http://sematext.com/)
> > > > 
> > > > On Thu, May 1, 2014 at 10:48 AM, Kruti Shukla [krutib...@gmail.com](mailto:krutib...@gmail.com)wrote:
> > > > 
> > > > > _My final goal is to have following search precedence:_
> > > > > 
> > > > > 1. Exact phrase match
> > > > > 2. Exact word match with incremental distance
> > > > > 3. Plurals
> > > > > 4. Substring
> > > > > 
> > > > > _Suppose I have following documents:_  
> > > > > i. men’s shaver  
> > > > > ii. men’s shavers  
> > > > > iii. men’s foil shaver  
> > > > > iv. men’s foils shaver  
> > > > > v. men’s foil shavers  
> > > > > vi. men’s foils shavers
> > > > > 
> > > > > \*Case 1: \*search for : “men’s foil shaver”  
> > > > > _Expected result:_
> > > > > 
> > > > > 1. men’s foil shaver \<------ exact phrase match
> > > > > 2. men’s foil shavers \<------ exact word match on 2 of 3 words with 0  
> > > > > word distance + plural
> > > > > 3. men’s foils shaver \<------ exact word match on 2 of 3 words with 1  
> > > > > word distance + plural
> > > > > 4. men’s foils shavers \<------ exact word match on 1 of 3 words + 2  
> > > > > plurals
> > > > > 5. men’s shaver \<------ exact word match on 2 of 3 words (66% match)
> > > > > 6. men’s shavers \<------ exact word match on 1 of 3 words + plural  
> > > > > (66% match)
> > > > > 
> > > > > \*Case 2: \*search for : “men’s foil shavers”  
> > > > > _Expected result:_
> > > > > 
> > > > > 1. men’s foil shavers \<------ exact phrase match
> > > > > 2. men’s foil shaver \<------ exact word match on 2 of 3 words with 0  
> > > > > word distance + singular
> > > > > 3. men’s foils shavers \<------ exact word match on 2 of 3 words with  
> > > > > 1 word distance + singular
> > > > > 4. men’s foils shaver \<------ exact word match on 1 of 3 words + 2  
> > > > > singulars
> > > > > 5. men’s shavers \<------ exact word match on 2 of 3 words (66% match)
> > > > > 6. men’s shaver \<------ exact word match on 1 of 3 words + singular  
> > > > > (66% match)
> > > > > 
> > > > > _Case 3:_ search for : “men’s foils shavers”  
> > > > > _Expected result:_
> > > > > 
> > > > > 1. men’s foils shavers \<------ exact phrase match
> > > > > 2. men’s foils shaver \<------ exact word match on 2 of 3 words with 0  
> > > > > word distance + singular
> > > > > 3. men’s foil shavers \<------ exact word match on 2 of 3 words with 1  
> > > > > word distance + singular
> > > > > 4. men’s foil shaver \<------ exact word match on 1 of 3 words + 2  
> > > > > singulars
> > > > > 5. men’s shavers \<------ exact word match on 2 of 3 words (66% match)
> > > > > 6. men’s shaver \<------ exact word match on 1 of 3 words + singular  
> > > > > (66% match)
> > > > > 
> > > > > Is there any way in elasticsearch I can achieve this?  
> > > > > This question is related to my other question which is not answered  
> > > > > yet.  
> > > > > Link to my other question "[https://groups.google.com/](https://groups.google.com/)  
> > > > > forum/?utm\_medium=email&utm\_source=footer#!msg/  
> > > > > elasticsearch/ui9OR7JARs4/Mp3oOtTqY0EJ".
> > > > > 
> > > > > Any suggestion would help!  
> > > > > Thank you.
> > > > > 
> > > > > --  
> > > > > You received this message because you are subscribed to the Google  
> > > > > Groups "elasticsearch" group.  
> > > > > To unsubscribe from this group and stop receiving emails from it, send  
> > > > > an email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com).  
> > > > > To view this discussion on the web visit [https://groups.google.com/d/](https://groups.google.com/d/)  
> > > > > msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%  
> > > > > [40googlegroups.com](http://40googlegroups.com)[https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > > .  
> > > > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).
> > > > 
> > > > --  
> > > > You received this message because you are subscribed to the Google Groups  
> > > > "elasticsearch" group.  
> > > > To unsubscribe from this group and stop receiving emails from it, send an  
> > > > email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com) \<javascript:\>.  
> > > > To view this discussion on the web visit  
> > > > [https://groups.google.com/d/msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%40googlegroups.com)[https://groups.google.com/d/msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > .
> > 
> > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

--  
You received this message because you are subscribed to the Google Groups "elasticsearch" group.  
To unsubscribe from this group and stop receiving emails from it, send an email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
To view this discussion on the web visit [https://groups.google.com/d/msgid/elasticsearch/e99be4c6-d7d0-479b-8cf8-4986d01acf53%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/e99be4c6-d7d0-479b-8cf8-4986d01acf53%40googlegroups.com).  
For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

---

<div class="post-metadata">

**Author:** ![Kruti\_Shukla](https://avatars.discourse-cdn.com/v4/letter/k/45deac/32.png) [@Kruti\_Shukla](https://discuss.elastic.co/u/Kruti_Shukla)\
**Post date:** [May 5, 2014, 11:48am UTC](https://discuss.elastic.co/t/partial-word-match-with-singular-and-plurals-elasticsearch/17296/7 "2014-05-05T11:48:29Z")

</div>

I tried changing tokenizer from "standard" to "whitespace". In the mapping  
I separated "index\_analyzer" to use my customer analyzer and  
search\_analyzer to use default standard analyzer. Still the results are not  
improved.  
Explanation is also not that helpful.

On Fri, May 2, 2014 at 9:10 AM, Kruti Shukla [krutibhatt17@gmail.com](mailto:krutibhatt17@gmail.com) wrote:

> Hi Radu,  
> Thank you so much for your reply and suggestion. It is really helping me  
> solving my query as well as knowledge on elasticsearch.
> 
> I now have index on only 1 shard. Results are some what improved.  
> Added one more field with "standard" analyzer.
> 
> PUT /my\_improved\_index/my\_improved\_index\_type/\_mapping  
> {  
> "my\_improved\_index\_type": {  
> "properties": {  
> "name": {  
> "type": "multi\_field",  
> "fields": {  
> "name\_gram": {  
> "type": "string",  
> "index\_analyzer": "trigrams"  
> },  
> "untouched": {  
> "type": "string",  
> "index": "not\_analyzed"  
> },  
> "name\_stemmer":{  
> "type": "string",  
> "analyzer": "my\_stemmer\_analyzer"  
> },  
> _"name\_standard":{_
> 
> - 
> 
> ```
> "type": "string",*
> 
> ```
> 
> - 
> 
> ```
> "analyzer": "standard"*
> }
> }
> }
> }
> 
> ```
> 
> }
> 
> }
> 
> There are still problem with return result.  
> _Query:_
> 
> curl -XPOST "  
> [http://localhost:9200/my\_improved\_index/my\_improved\_index\_type/\_search](http://localhost:9200/my_improved_index/my_improved_index_type/_search)"  
> -d'  
> {  
> "size": 30,  
> "query": {  
> "bool": {  
> "should": [  
> {  
> "match": {  
> "name.untouched": {  
> "query": "men"s foil shaver",  
> "operator": "and",  
> "type": "phrase",  
> "boost": "10"  
> }  
> }  
> },  
> {  
> "match\_phrase": {  
> "name.name\_stemmer": {  
> "query": "men"s foil shaver",  
> "slop": 5  
> }  
> }  
> },  
> \* {\*
> 
> - 
> 
> ```
> "match": {*
> 
> ```
> 
> - 
> 
> ```
> "name.name_standard": {*
> 
> ```
> 
> - 
> 
> ```
> "query": "men\"s foil shaver"*
> 
> ```
> 
> - 
> 
> ```
> }*
> 
> ```
> 
> - 
> 
> ```
> }*
> 
> ```
> 
> - 
> 
> ```
> }*
> ]
> }
> 
> ```
> 
> }  
> }'
> 
> _Returned result:_
> 
> 1. men's foil shaver --\> score: 4.4437184
> 2. men's foils shaver --\> socre: 0.5215846
> 3. men's foil advanced shaver --\> score: 0.49008065 \* --\> should be 4th\*
> 4. norelco men's foil advanced shaver --\> score: 0.42882058 \* --\> should  
> be 5th\*  
> _5. men's shaver --\> score: 0.04429976 --\> should be 6th_  
> _6. men's foil shavers --\> score: 0.010844119 --\> should be 3rd_
> 5. men's shavers --\> score: 0.010372223
> 
> Please suggest.. I tried having explain = true..but did not help much.
> 
> _Below is the explanation for 6th return result "men's foil shavers":_
> 
> {  
> "\_shard": 0,  
> "\_node": "VRNH3VrlTC2Tu6y\_GgDZbw",  
> "\_index": "my\_improved\_index",  
> "\_type": "my\_improved\_index\_type",  
> "\_id": "35",  
> "\_score": 0.010844119,  
> "\_source": {  
> "name": "men's foil shavers"  
> },  
> "\_explanation": {  
> "value": 0.010844119,  
> "description": "product of:",  
> "details": [  
> {  
> "value": 0.032532357,  
> "description": "sum of:",  
> "details": [  
> {  
> "value": 0.032532357,  
> "description": "product of:",  
> "details": [  
> {  
> "value": 0.09759706,  
> "description": "sum of:",  
> "details": [  
> {  
> "value": 0.09759706,  
> "description":  
> "weight(name.name\_standard:foil in 26) [PerFieldSimilarity], result of:",  
> "details": [  
> {  
> "value": 0.09759706,  
> "description":  
> "score(doc=26,freq=1.0 = termFreq=1.0\n), product of:",  
> "details": [  
> {  
> "value": 0.07266014,  
> "description":  
> "queryWeight, product of:",  
> "details": [  
> {  
> "value": 2.686399,  
> "description":  
> "idf(docFreq=4, maxDocs=27)"  
> },  
> {  
> "value":  
> 0.027047412,  
> "description":  
> "queryNorm"  
> }  
> ]  
> },  
> {  
> "value": 1.3431995,  
> "description":  
> "fieldWeight in 26, product of:",  
> "details": [  
> {  
> "value": 1,  
> "description":  
> "tf(freq=1.0), with freq of:",  
> "details": [  
> {  
> "value": 1,
> 
> "description": "termFreq=1.0"  
> }  
> ]  
> },  
> {  
> "value": 2.686399,  
> "description":  
> "idf(docFreq=4, maxDocs=27)"  
> },  
> {  
> "value": 0.5,  
> "description":  
> "fieldNorm(doc=26)"  
> }  
> ]  
> }  
> ]  
> }  
> ]  
> }  
> ]  
> },  
> {  
> "value": 0.33333334,  
> "description": "coord(1/3)"  
> }  
> ]  
> }  
> ]  
> },  
> {  
> "value": 0.33333334,  
> "description": "coord(1/3)"  
> }  
> ]  
> }  
> }
> 
> On Friday, May 2, 2014 8:30:03 AM UTC-4, Radu Gheorghe wrote:
> 
> > Hello,
> > 
> > The exact match vs plural is probably because of the stemmer. As you have  
> > your fields and queries now, Elasticsearch has no way to boost individual  
> > exact word matches higher. To fix this, you can add another field where you  
> > just analyze the text using the standard analyzer (no stemming). Then add  
> > that to another query within your bool and exact word matches should be  
> > ranked higher. Though I would do a simple match for that (no phrase), to  
> > account for the case where one word is exact and one is plural -\> such a  
> > document should be ranked higher than if both are plurals. You'll get that  
> > with standard match because it looks for all terms, while match\_phrase will  
> > try to match the phrase with the given slop and none of those two documents  
> > will get hit.
> > 
> > I don't know why the higher distance document is scored higher in your  
> > case - the 6th result should have been higher. Can you try with an index of  
> > one shard and see if results are any different?
> > 
> > Either way, you should get an explanation for each document's score by  
> > enabling Explain:  
> > [Elasticsearch Platform — Find real-time answers at scale | Elastic](http://www.elasticsearch.org/guide/en/elasticsearch/)  
> > reference/current/search-request-explain.html
> > 
> > ## Best regards, Radu
> > 
> > Performance Monitoring \* Log Analytics \* Search Analytics  
> > Solr & Elasticsearch Support \* [http://sematext.com/](http://sematext.com/)
> > 
> > On Fri, May 2, 2014 at 1:40 PM, Kruti Shukla [krutib...@gmail.com](mailto:krutib...@gmail.com) wrote:
> > 
> > > Any help?  
> > > Why higher distance document scored higher?  
> > > Is there any problem with stemmer or nGram settings?
> > > 
> > > On Thursday, May 1, 2014 8:37:09 AM UTC-4, Kruti Shukla wrote:
> > > 
> > > > Hi Radu,
> > > > 
> > > > Thank you so for the suggestions. I was knowing mul-field but was not  
> > > > knowing how helpful it can be but now I'm able play with the multi field  
> > > > feature.  
> > > > I tried following suggestion and created index and mapping accordingly.
> > > > 
> > > > I tried querying for first 2. First one was simple and second one with  
> > > > slop. It is not returning correct slop(i,e, incremental distance).  
> > > > Please help/suggest query improvements.
> > > > 
> > > > _Please see my settings below:_
> > > > 
> > > > \*For index: \*  
> > > > curl -XPUT "[http://localhost:9200/my\_improved\_index](http://localhost:9200/my_improved_index)" -d'  
> > > > {  
> > > > "settings": {  
> > > > "analysis": {  
> > > > "filter": {  
> > > > "trigrams\_filter": {  
> > > > "type": "ngram",  
> > > > "min\_gram": 1,  
> > > > "max\_gram": 50  
> > > > },  
> > > > "my\_stemmer" : {  
> > > > "type" : "stemmer",  
> > > > "name" : "minimal\_english"  
> > > > }  
> > > > },  
> > > > "analyzer": {  
> > > > "trigrams": {  
> > > > "type": "custom",  
> > > > "tokenizer": "standard",  
> > > > "filter": [  
> > > > "standard",  
> > > > "lowercase",  
> > > > "trigrams\_filter"  
> > > > ]  
> > > > },  
> > > > "my\_stemmer\_analyzer":{  
> > > > "type": "custom",  
> > > > "tokenizer": "standard",  
> > > > "filter": [  
> > > > "standard",  
> > > > "lowercase",  
> > > > "my\_stemmer"  
> > > > ]  
> > > > }  
> > > > }  
> > > > }  
> > > > }  
> > > > }'
> > > > 
> > > > _For mappings:_  
> > > > curl -XPUT "[http://localhost:9200/my\_improved\_index/my\_improved\_index\_](http://localhost:9200/my_improved_index/my_improved_index_)  
> > > > type/\_mapping" -d'  
> > > > {  
> > > > "my\_improved\_index\_type": {  
> > > > "properties": {  
> > > > "name": {  
> > > > "type": "multi\_field",  
> > > > "fields": {  
> > > > "name\_gram": {  
> > > > "type": "string",  
> > > > "analyzer": "trigrams"  
> > > > },  
> > > > "untouched": {  
> > > > "type": "string",  
> > > > "index": "not\_analyzed"  
> > > > },  
> > > > "name\_stemmer":{  
> > > > "type": "string",  
> > > > "analyzer": "my\_stemmer\_analyzer"  
> > > > }  
> > > > }  
> > > > }  
> > > > }  
> > > > }
> > > > 
> > > > }'
> > > > 
> > > > _Available documents:_
> > > > 
> > > > 1. men's shaver
> > > > 2. men's shavers
> > > > 3. 
> > > > 
> > > > ```
> > > > men's foil shaver
> > > > 
> > > > ```
> > > > 
> > > > 4. men's foils shaver
> > > > 5. men's foil shavers
> > > > 6. men's foils shavers
> > > > 7. men's foil advanced shaver
> > > > 8. norelco men's foil advanced shaver
> > > > 
> > > > _Query:_  
> > > > curl -XPOST "[http://localhost:9200/my\_improved\_index/my\_improved\_index\_](http://localhost:9200/my_improved_index/my_improved_index_)  
> > > > type/\_search" -d'  
> > > > {  
> > > > "size": 30,  
> > > > "query": {  
> > > > "bool": {  
> > > > "should": [  
> > > > {  
> > > > "match": {  
> > > > "name.untouched": {  
> > > > "query": "men"s shaver",  
> > > > "operator": "and",  
> > > > "type": "phrase",  
> > > > "boost": "10"  
> > > > }  
> > > > }  
> > > > },  
> > > > {  
> > > > "match\_phrase": {  
> > > > "name.name\_stemmer": {  
> > > > "query": "men"s shaver",  
> > > > "slop": 5  
> > > > }  
> > > > }  
> > > > }  
> > > > ]  
> > > > }  
> > > > }  
> > > > }'
> > > > 
> > > > _Returned result:_
> > > > 
> > > > 1. men's shaver --\> correct
> > > > 2. men's shavers --\> correct
> > > > 3. men's foils shaver --\> NOT correct
> > > > 4. norelco men's foil advanced shaver --\> NOT correct
> > > > 5. men's foil advanced shaver --\> NOT correct
> > > > 6. men's foil shaver --\> NOT correct.
> > > > 
> > > > _Expected result:_
> > > > 
> > > > 1. men's shaver --\> exact phrase match
> > > > 2. men's shavers --\> ZERO word distance + 1 plural
> > > > 3. men's foil shaver --\> 1 word distance
> > > > 4. men's foils shaver --\> 1 word distance + 1 plural
> > > > 5. men's foil advanced shaver --\> 2 word distance
> > > > 6. norelco men's foil advanced shaver --\> 2 word distance
> > > > 
> > > > Why higher distance document scored higher?  
> > > > Is there any problem with stemmer or nGram settings?
> > > > 
> > > > On Thursday, May 1, 2014 7:26:02 AM UTC-4, Radu Gheorghe wrote:
> > > > 
> > > > > Hi Kruti,
> > > > > 
> > > > > The short answer is yes, it is possible. Here's one way to do it:
> > > > > 
> > > > > Have the fields you search on as multi field[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/\_multi\_fields.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/_multi_fields.html),  
> > > > > where you index them with various settings, like once not-analyzed for  
> > > > > exact matches, once with ngrams to account for typoes and so on. You can  
> > > > > query all those sub-fields, and use the multi-match query with best  
> > > > > fields[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields)or the DisMax  
> > > > > query[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-dis-max-query.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-dis-max-query.html)to wrap all those queries and take the best score (or the best score and a  
> > > > > factor of the other scores by using the tie breaker).
> > > > > 
> > > > > Now, for the specific requirements you have:
> > > > > 
> > > > > 1. For exact matching, you can skip analysis altogether, and set  
> > > > > "index" to "not\_anyzed". Alternatively, you could use the simple  
> > > > > analyzer[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-simple-analyzer.html#analysis-simple-analyzer](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-simple-analyzer.html#analysis-simple-analyzer) or  
> > > > > something equally "harmless" to allow for some error. You could boost this  
> > > > > kind of query a lot, so that exact matches come out on top
> > > > > 2. For phrase matches with distance, you can use the match\_phrase  
> > > > > type of the match query[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#\_phrase](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#_phrase).  
> > > > > You can configure a _slop_ that defines the maximum allowed distance  
> > > > > for a match to show up in your results. Documents with "closer" words  
> > > > > should get higher scores. You would boost this query less than the exact  
> > > > > matches, but more than the following.
> > > > > 3. For handling plurals, you'd probably need to do some stemming. Have  
> > > > > a look at the snowball token filter[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html)or the stemmer  
> > > > > token filter[http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html#analysis-stemmer-tokenfilter](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html#analysis-stemmer-tokenfilter).  
> > > > > Again, this would be boosted lower than 1) and 2), but more than 4)
> > > > > 4. For handling substrings, you can use ngrams, as you already seem to  
> > > > > be doing. Alternatively, you can pay the price at query time by using the  
> > > > > "fuziness" option of the match query.
> > > > > 
> > > > > ## Best regards, Radu
> > > > > 
> > > > > Performance Monitoring \* Log Analytics \* Search Analytics  
> > > > > Solr & Elasticsearch Support \* [http://sematext.com/](http://sematext.com/)
> > > > > 
> > > > > On Thu, May 1, 2014 at 10:48 AM, Kruti Shukla [krutib...@gmail.com](mailto:krutib...@gmail.com)wrote:
> > > > > 
> > > > > > _My final goal is to have following search precedence:_
> > > > > > 
> > > > > > 1. Exact phrase match
> > > > > > 2. Exact word match with incremental distance
> > > > > > 3. Plurals
> > > > > > 4. Substring
> > > > > > 
> > > > > > _Suppose I have following documents:_  
> > > > > > i. men's shaver  
> > > > > > ii. men's shavers  
> > > > > > iii. men's foil shaver  
> > > > > > iv. men's foils shaver  
> > > > > > v. men's foil shavers  
> > > > > > vi. men's foils shavers
> > > > > > 
> > > > > > \*Case 1: \*search for : "men's foil shaver"  
> > > > > > _Expected result:_
> > > > > > 
> > > > > > 1. men's foil shaver \<------ exact phrase match
> > > > > > 2. men's foil shavers \<------ exact word match on 2 of 3 words with  
> > > > > > 0 word distance + plural
> > > > > > 3. men's foils shaver \<------ exact word match on 2 of 3 words with  
> > > > > > 1 word distance + plural
> > > > > > 4. men's foils shavers \<------ exact word match on 1 of 3 words + 2  
> > > > > > plurals
> > > > > > 5. men's shaver \<------ exact word match on 2 of 3 words (66% match)
> > > > > > 6. men's shavers \<------ exact word match on 1 of 3 words + plural  
> > > > > > (66% match)
> > > > > > 
> > > > > > \*Case 2: \*search for : "men's foil shavers"  
> > > > > > _Expected result:_
> > > > > > 
> > > > > > 1. men's foil shavers \<------ exact phrase match
> > > > > > 2. men's foil shaver \<------ exact word match on 2 of 3 words with 0  
> > > > > > word distance + singular
> > > > > > 3. men's foils shavers \<------ exact word match on 2 of 3 words with  
> > > > > > 1 word distance + singular
> > > > > > 4. men's foils shaver \<------ exact word match on 1 of 3 words + 2  
> > > > > > singulars
> > > > > > 5. men's shavers \<------ exact word match on 2 of 3 words (66% match)
> > > > > > 6. men's shaver \<------ exact word match on 1 of 3 words + singular  
> > > > > > (66% match)
> > > > > > 
> > > > > > _Case 3:_ search for : "men's foils shavers"  
> > > > > > _Expected result:_
> > > > > > 
> > > > > > 1. men's foils shavers \<------ exact phrase match
> > > > > > 2. men's foils shaver \<------ exact word match on 2 of 3 words with  
> > > > > > 0 word distance + singular
> > > > > > 3. men's foil shavers \<------ exact word match on 2 of 3 words with  
> > > > > > 1 word distance + singular
> > > > > > 4. men's foil shaver \<------ exact word match on 1 of 3 words + 2  
> > > > > > singulars
> > > > > > 5. men's shavers \<------ exact word match on 2 of 3 words (66% match)
> > > > > > 6. men's shaver \<------ exact word match on 1 of 3 words + singular  
> > > > > > (66% match)
> > > > > > 
> > > > > > Is there any way in elasticsearch I can achieve this?  
> > > > > > This question is related to my other question which is not answered  
> > > > > > yet.  
> > > > > > Link to my other question "[https://groups.google.com/for](https://groups.google.com/for)  
> > > > > > um/?utm\_medium=email&utm\_source=footer#!msg/elasticsearch/  
> > > > > > ui9OR7JARs4/Mp3oOtTqY0EJ".
> > > > > > 
> > > > > > Any suggestion would help!  
> > > > > > Thank you.
> > > > > > 
> > > > > > --  
> > > > > > You received this message because you are subscribed to the Google  
> > > > > > Groups "elasticsearch" group.  
> > > > > > To unsubscribe from this group and stop receiving emails from it,  
> > > > > > send an email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com).  
> > > > > > To view this discussion on the web visit [https://groups.google.com/d/](https://groups.google.com/d/)  
> > > > > > msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40goo  
> > > > > > [glegroups.com](http://glegroups.com)[https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/c2ead70e-c5d6-4001-87fd-645a16e670dc%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > > > .  
> > > > > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).
> > > > > 
> > > > > --  
> > > > > You received this message because you are subscribed to the Google  
> > > > > Groups "elasticsearch" group.  
> > > > > To unsubscribe from this group and stop receiving emails from it, send  
> > > > > an email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com).  
> > > > > To view this discussion on the web visit [https://groups.google.com/d/](https://groups.google.com/d/)  
> > > > > msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%  
> > > > > [40googlegroups.com](http://40googlegroups.com)[https://groups.google.com/d/msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/e028f31d-e0e4-445e-864b-eac71782623a%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > > .
> > > 
> > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).
> > 
> > --  
> > You received this message because you are subscribed to a topic in the  
> > Google Groups "elasticsearch" group.  
> > To unsubscribe from this topic, visit  
> > [https://groups.google.com/d/topic/elasticsearch/ET-S3SCD22I/unsubscribe](https://groups.google.com/d/topic/elasticsearch/ET-S3SCD22I/unsubscribe).  
> > To unsubscribe from this group and all its topics, send an email to  
> > [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
> > To view this discussion on the web visit  
> > [https://groups.google.com/d/msgid/elasticsearch/e99be4c6-d7d0-479b-8cf8-4986d01acf53%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/e99be4c6-d7d0-479b-8cf8-4986d01acf53%40googlegroups.com)[https://groups.google.com/d/msgid/elasticsearch/e99be4c6-d7d0-479b-8cf8-4986d01acf53%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/e99be4c6-d7d0-479b-8cf8-4986d01acf53%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > .
> 
> For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

--  
Cheers!!  
Kruti

--  
You received this message because you are subscribed to the Google Groups "elasticsearch" group.  
To unsubscribe from this group and stop receiving emails from it, send an email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
To view this discussion on the web visit [https://groups.google.com/d/msgid/elasticsearch/CACofF64zU\_TeqvRiRCvLgA4U1HWPDm%2BgDmXeQB-UUxtWtRNEkA%40mail.gmail.com](https://groups.google.com/d/msgid/elasticsearch/CACofF64zU_TeqvRiRCvLgA4U1HWPDm%2BgDmXeQB-UUxtWtRNEkA%40mail.gmail.com).  
For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

---

<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [July 6, 2017, 1:31am UTC](https://discuss.elastic.co/t/partial-word-match-with-singular-and-plurals-elasticsearch/17296/8 "2017-07-06T01:31:41Z")

</div>