# Lang (czech) analyzer with asciifolding tokenizer or icu\_tokenizer

**URL:** <https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631>\
**Category:** Elasticsearch\
**Created:** [April 18, 2013, 1:50pm UTC](https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631 "2013-04-18T13:50:19Z")\
**Posts on this page:** 11\
**Page:** 1

<div class="post-metadata">

**Author:** ![gondo\_2](https://avatars.discourse-cdn.com/v4/letter/g/f08c70/32.png) [@gondo\_2](https://discuss.elastic.co/u/gondo_2)\
**Post date:** [April 18, 2013, 1:50pm UTC](https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631/1 "2013-04-18T13:50:19Z")

</div>

hi

is it possible to use lang analyzer together with asciifolding tokenizer or  
icu\_tokenizer?  
i've tried icu, but they do not support Czech. i found some attempt to make  
it work [http://snowball.tartarus.org/otherapps/oregan/intro.html](http://snowball.tartarus.org/otherapps/oregan/intro.html) but i do  
not know how to integrate this with ES to try it.

basically what i would like to happen is:  
input string (1):  
Přihláška  
indexed strings (2):  
přihláška  
prihlaska

i do not care about word bending too much. by that i mean, that i do not  
require transferring "Přihláška", "Přihlášky" .. into "prihlask"

right now, the only solution i can think of, is filtering those characters  
in the application.

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**Author:** ![simonw\_2](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/simonw_2/32/1130_2.png) [@simonw\_2](https://discuss.elastic.co/u/simonw_2)\
**Post date:** [April 18, 2013, 2:14pm UTC](https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631/2 "2013-04-18T14:14:25Z")

</div>

On Thursday, April 18, 2013 3:50:19 PM UTC+2, gondo wrote:

> hi
> 
> is it possible to use lang analyzer together with asciifolding tokenizer  
> or icu\_tokenizer?  
> i've tried icu, but they do not support Czech. i found some attempt to  
> make it work [Stemmers for Irish Gaelic and Czech](http://snowball.tartarus.org/otherapps/oregan/intro.html) but  
> i do not know how to integrate this with ES to try it.
> 
> basically what i would like to happen is:  
> input string (1):  
> Přihláška  
> indexed strings (2):  
> přihláška  
> prihlaska
> 
> i do not care about word bending too much. by that i mean, that i do not  
> require transferring "Přihláška", "Přihlášky" .. into "prihlask"

I am not sure I am getting what you are asking for, can you use the ICU  
filters / tokeinizer together with "czech\_stem" in Elasticsearch which is  
essentially the czech anazlyer?

simon

> right now, the only solution i can think of, is filtering those characters  
> in the application.

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**Author:** ![Lukas\_Vlcek1](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/lukas_vlcek1/32/819_2.png) [@Lukas\_Vlcek1](https://discuss.elastic.co/u/Lukas_Vlcek1)\
**Post date:** [April 18, 2013, 2:47pm UTC](https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631/3 "2013-04-18T14:47:28Z")

</div>

Hi,

On Thu, Apr 18, 2013 at 3:50 PM, gondo [gondar@webdesigners.sk](mailto:gondar@webdesigners.sk) wrote:

> hi
> 
> is it possible to use lang analyzer together with asciifolding tokenizer  
> or icu\_tokenizer?  
> i've tried icu, but they do not support Czech. i found some attempt to  
> make it work [Stemmers for Irish Gaelic and Czech](http://snowball.tartarus.org/otherapps/oregan/intro.html) but  
> i do not know how to integrate this with ES to try it.
> 
> basically what i would like to happen is:  
> input string (1):  
> Přihláška  
> indexed strings (2):  
> přihláška  
> prihlaska

the way I would do this is using multi filed, see

> **[Elasticsearch Platform — Find real-time answers at scale](https://www.elastic.co)**
>
> Power insights and outcomes with the Elasticsearch Platform and AI. See into your data and find answers that matter with enterprise solutions designed to help you build, observe, and protect. Try Elasticsearch free today.

> i do not care about word bending too much. by that i mean, that i do not  
> require transferring "Přihláška", "Přihlášky" .. into "prihlask"

AFAIK this is called stemming. So if you do not want stemming, do not use  
czech\_stem filter or czech analyzer.

For example, if you take this gist  
[Čeština v elasticsearch · GitHub](https://gist.github.com/lukas-vlcek/4673027) can you try to modify analyzer  
called "cestina2" and replace filter "czech\_stemmer1" in it with  
"asciifolding"? Would that work for you?

Regards,  
Lukas

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**Author:** ![gondo\_2](https://avatars.discourse-cdn.com/v4/letter/g/f08c70/32.png) [@gondo\_2](https://discuss.elastic.co/u/gondo_2)\
**Post date:** [April 18, 2013, 11:59pm UTC](https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631/4 "2013-04-18T23:59:50Z")

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hi  
sorry i guess my terminology isn't correct, i meant fileters not  
tokenizers, im just starting with ES.  
im quite happy with ES lang (czech) analyzer, however i would want to  
add asciifolding filter to it.  
so in my example, i want "š" to be transformed into "s", "á" -\> "a"  
and another example:  
"Ň" -\> "n"  
however i was not able to extend "czech" analyzer to add "asciifolding" to  
it.  
unfortunately there is no documentation what would say what tokenizers,  
filters ... is used in language analyzer, so i could not just add  
"asciifolding" filter into filter arrays.  
by googling around, i found icu plugin[https://github.com/elasticsearch/elasticsearch-analysis-icu](https://github.com/elasticsearch/elasticsearch-analysis-icu)what provides "icu\_normalizer" filter and some german  
examples[http://jprante.github.io/lessons/2012/05/16/multilingual-analysis-for-title-search.html](http://jprante.github.io/lessons/2012/05/16/multilingual-analysis-for-title-search.html).  
problem with this is, that czech doesnt seems to be supported. (in addition  
to confusion, the plugin mentions langauge as "en", however the german  
example use "German2")

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**Author:** ![gondo\_2](https://avatars.discourse-cdn.com/v4/letter/g/f08c70/32.png) [@gondo\_2](https://discuss.elastic.co/u/gondo_2)\
**Post date:** [April 19, 2013, 12:16am UTC](https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631/5 "2013-04-19T00:16:24Z")

</div>

@lukas:  
thanks, i've come across your example before without a success. i ll try to  
modify it as you suggested.  
side questions:  
in this example[http://jprante.github.io/lessons/2012/05/16/multilingual-analysis-for-title-search.html](http://jprante.github.io/lessons/2012/05/16/multilingual-analysis-for-title-search.html) they achieved what  
i want (but in German not Czech) by using combo analyzer[https://github.com/yakaz/elasticsearch-analysis-combo/](https://github.com/yakaz/elasticsearch-analysis-combo/)  
but i was not able to make it work 😕  
if i understand it correctly, multi\_field is helpful just to preserve  
original token before any analysis and you can't setup different filters.  
what i need is:  
filters: asciifolding + lowercase + the one used in czech analyzer (one or  
multiple)  
stop words: the one used in czech analyzer (one or multiple)  
tokenizer: the one used in czech analyzer (one or multiple)  
stemmer: czech (this is optional)

so essentially i want to add asciifolding (or icu\_normalizer) filter to  
default czech analyzer  
any idea?

On Friday, 19 April 2013 00:47:28 UTC+10, Lukáš Vlček wrote:

> Hi,
> 
> On Thu, Apr 18, 2013 at 3:50 PM, gondo \<gon...@webdesigners.sk\<javascript:\>
> 
> > wrote:
> 
> > hi
> > 
> > is it possible to use lang analyzer together with asciifolding tokenizer  
> > or icu\_tokenizer?  
> > i've tried icu, but they do not support Czech. i found some attempt to  
> > make it work [http://snowball.tartarus.org/otherapps/oregan/intro.htmlbut](http://snowball.tartarus.org/otherapps/oregan/intro.htmlbut) i do not know how to integrate this with ES to try it.
> > 
> > basically what i would like to happen is:  
> > input string (1):  
> > Přihláška  
> > indexed strings (2):  
> > přihláška  
> > prihlaska
> 
> the way I would do this is using multi filed, see  
> [Elasticsearch Platform — Find real-time answers at scale | Elastic](http://www.elasticsearch.org/guide/reference/mapping/multi-field-type/)
> 
> > i do not care about word bending too much. by that i mean, that i do not  
> > require transferring "Přihláška", "Přihlášky" .. into "prihlask"
> 
> AFAIK this is called stemming. So if you do not want stemming, do not use  
> czech\_stem filter or czech analyzer.
> 
> For example, if you take this gist  
> [Čeština v elasticsearch · GitHub](https://gist.github.com/lukas-vlcek/4673027) can you try to modify  
> analyzer called "cestina2" and replace filter "czech\_stemmer1" in it with  
> "asciifolding"? Would that work for you?
> 
> Regards,  
> Lukas

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**Author:** ![gondo\_2](https://avatars.discourse-cdn.com/v4/letter/g/f08c70/32.png) [@gondo\_2](https://discuss.elastic.co/u/gondo_2)\
**Post date:** [April 19, 2013, 12:29am UTC](https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631/6 "2013-04-19T00:29:46Z")

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im little bit confused now as i dont know what is the name of the filter  
with functionality i want: "Ň" -\> "n"  
i think i meant "icu\_folding" rather than "icu\_normalizer"

whats the difference between icu\_normalizer and build in lang analyzer?  
apart from the fact, that icu\_normalizer cant be set to Czech apparently?

the same question for icu\_collation, whats the difference between  
icu\_collation and build in lang analyzer?

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**Author:** ![gondo\_2](https://avatars.discourse-cdn.com/v4/letter/g/f08c70/32.png) [@gondo\_2](https://discuss.elastic.co/u/gondo_2)\
**Post date:** [April 19, 2013, 5:32am UTC](https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631/7 "2013-04-19T05:32:21Z")

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@lukas: regards your gist example,what are the exact differences  
between czech\_stemmer1 and czech\_stemmer2 filters? can you give me some  
example what will produce different results after applying those two  
filters? (they seems to be identical to me)  
btw after rereading your example couple of times, i've noticed your last  
comment, that is very valuable information and it should be mentioned in  
documentation: "Note the custom analyzer is in fact the same to what is  
preconfigured in cestina1 under the hood"

i think that what i want is "cestina" analyzer in my code below, it should  
be "czech" analyzer + "asciifolding" filter.  
question, are "cestina\_1" and "cestina\_2" valid analyzers?  
and if you know, what are the differences between "asciifolding" and  
"icu\_folding" for czech?

...  
"analyzer" : {  
"cestina" : {  
"type" : "custom",  
"tokenizer" : "standard",  
"filter" : ["standard", "lowercase", "asciifolding",  
"czech\_stop", "czech\_stemmer"]  
},  
"cestina\_1" : {  
"type" : "czech",  
"filter" : ["asciifolding"]  
},  
"desky\_3" : {  
"type" : "czech",  
"filter" : ["icu\_folding"]  
}  
},  
"filter" : {  
"czech\_stemmer" : {  
"type" : "stemmer",  
"name" : "czech"  
},  
"czech\_stemmer\_2" : {  
"type" : "czech\_stem"  
},  
"czech\_stop" : {  
"type" : "stop",  
"stopwords" : ["_czech_"]  
}  
}  
...

thanks

On Thursday, 18 April 2013 23:50:19 UTC+10, gondo wrote:

> hi
> 
> is it possible to use lang analyzer together with asciifolding tokenizer  
> or icu\_tokenizer?  
> i've tried icu, but they do not support Czech. i found some attempt to  
> make it work [Stemmers for Irish Gaelic and Czech](http://snowball.tartarus.org/otherapps/oregan/intro.html) but  
> i do not know how to integrate this with ES to try it.
> 
> basically what i would like to happen is:  
> input string (1):  
> Přihláška  
> indexed strings (2):  
> přihláška  
> prihlaska
> 
> i do not care about word bending too much. by that i mean, that i do not  
> require transferring "Přihláška", "Přihlášky" .. into "prihlask"
> 
> right now, the only solution i can think of, is filtering those characters  
> in the application.

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**Author:** ![Lukas\_Vlcek1](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/lukas_vlcek1/32/819_2.png) [@Lukas\_Vlcek1](https://discuss.elastic.co/u/Lukas_Vlcek1)\
**Post date:** [April 19, 2013, 7:45am UTC](https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631/8 "2013-04-19T07:45:20Z")

</div>

Hi,

On Fri, Apr 19, 2013 at 7:32 AM, gondo [gondar@webdesigners.sk](mailto:gondar@webdesigners.sk) wrote:

> @lukas: regards your gist example,what are the exact differences  
> between czech\_stemmer1 and czech\_stemmer2 filters? can you give me some  
> example what will produce different results after applying those two  
> filters? (they seems to be identical to me)

there is no difference between czech\_stemmer1 and czech\_stemmer2 filters  
here [[Čeština v elasticsearch · GitHub](https://gist.github.com/lukas-vlcek/4673027)] they both do exactly the  
same. They are just "synonyms". I wanted to put together all possible  
configurations and make consolidated example. Both are valid options and as  
long as they are both supported in ES you can use either first or second  
filter.

So if in turn cestina4 analyzer would be using czech\_stemmer1 filter  
instead of 2 if would be the same as well.

> btw after rereading your example couple of times, i've noticed your last  
> comment, that is very valuable information and it should be mentioned in  
> documentation: "Note the custom analyzer is in fact the same to what is  
> preconfigured in cestina1 under the hood"

Yes, that is the point. The difference between cestina1 and cestina2 (or  
between cestina1 and cestina3) is the later analyzer does not exclude stop  
words. So you have to add it into the filter chain, and that is what  
cestina4 is intended to demonstrate.

> i think that what i want is "cestina" analyzer in my code below, it should  
> be "czech" analyzer + "asciifolding" filter.

yes, I think this should be what you need to start with. Only after you  
realise that this is not enough and you need something more advanced then  
dig deeper (it probably depends on your use case, for example the article  
from Jörg that you linked before discusses advanced topic related to  
library catalog data, if your use case is not that complicated, the chance  
is you will be fine with asciifolding or/and czech stemmer or even ngrams).

> question, are "cestina\_1" and "cestina\_2" valid analyzers?

The documentation for language analysers [1] do not mention possibility to  
setup custom filters (if it is possible then it should be documented). So  
to be a pure useless asshole I would say they are "valid" and "identical"  
(because the filter option is simply ignored).

[1]

> **[Elasticsearch Platform — Find real-time answers at scale](https://www.elastic.co)**
>
> Power insights and outcomes with the Elasticsearch Platform and AI. See into your data and find answers that matter with enterprise solutions designed to help you build, observe, and protect. Try Elasticsearch free today.

and if you know, what are the differences between "asciifolding" and

> "icu\_folding" for czech?

I am not expert on ICU. But it seems that the Java API of the ICU project  
supports Czech. It might be a nice experiment to give it a try (so for  
example that you can get correct sort order for tokens with "ch" and "h").

As for the asciifolding I simply use it to get rid of diacritics: ů -\> u, ě  
-\> e, ... in czech language this works pretty fine I think. But if you are  
using asciifolding then I would put it after stemmer in the filter chain.  
The stemmer for czech (if you want to use it) is rule based and the chance  
is that some of the rules require diacritics (I would have to check the  
source code but generally there is no reason to put stemmer after  
asciifolding IMO).

HTH,

Lukáš

> ...  
> "analyzer" : {  
> "cestina" : {  
> "type" : "custom",  
> "tokenizer" : "standard",  
> "filter" : ["standard", "lowercase", "asciifolding",  
> "czech\_stop", "czech\_stemmer"]  
> },  
> "cestina\_1" : {  
> "type" : "czech",  
> "filter" : ["asciifolding"]  
> },  
> "desky\_3" : {  
> "type" : "czech",  
> "filter" : ["icu\_folding"]  
> }  
> },  
> "filter" : {  
> "czech\_stemmer" : {  
> "type" : "stemmer",  
> "name" : "czech"  
> },  
> "czech\_stemmer\_2" : {  
> "type" : "czech\_stem"  
> },  
> "czech\_stop" : {  
> "type" : "stop",  
> "stopwords" : ["_czech_"]  
> }  
> }  
> ...
> 
> thanks
> 
> On Thursday, 18 April 2013 23:50:19 UTC+10, gondo wrote:
> 
> > hi
> > 
> > is it possible to use lang analyzer together with asciifolding tokenizer  
> > or icu\_tokenizer?  
> > i've tried icu, but they do not support Czech. i found some attempt to  
> > make it work [http://snowball.tartarus.org/\*\*otherapps/oregan/intro.html](http://snowball.tartarus.org/**otherapps/oregan/intro.html)[http://snowball.tartarus.org/otherapps/oregan/intro.html](http://snowball.tartarus.org/otherapps/oregan/intro.html)but i do not know how to integrate this with ES to try it.
> > 
> > basically what i would like to happen is:  
> > input string (1):  
> > Přihláška  
> > indexed strings (2):  
> > přihláška  
> > prihlaska
> > 
> > i do not care about word bending too much. by that i mean, that i do not  
> > require transferring "\*\*Přihláška", "Přihlášky" .. into "prihlask"
> > 
> > right now, the only solution i can think of, is filtering those  
> > characters in the application.
> 
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**Author:** ![gondo\_2](https://avatars.discourse-cdn.com/v4/letter/g/f08c70/32.png) [@gondo\_2](https://discuss.elastic.co/u/gondo_2)\
**Post date:** [April 22, 2013, 12:59pm UTC](https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631/9 "2013-04-22T12:59:55Z")

</div>

@lukas: thanks for clarification. i've ended up with this settings for now  
and will revisit if after some time and some more data:  
"analysis" : {  
"analyzer" : {  
"_default_" : {  
"type" : "custom",  
"tokenizer" : "standard",  
"filter" : ["standard", "lowercase",  
"czech\_stop", "czech\_stemmer", "asciifolding"]  
}  
},  
"filter" : {  
"czech\_stemmer" : {  
"type" : "stemmer",  
"name" : "czech"  
},  
"czech\_stop" : {  
"type" : "stop",  
"stopwords" : ["_czech_"]  
}  
}  
}

On Thursday, 18 April 2013 23:50:19 UTC+10, gondo wrote:

> hi
> 
> is it possible to use lang analyzer together with asciifolding tokenizer  
> or icu\_tokenizer?  
> i've tried icu, but they do not support Czech. i found some attempt to  
> make it work [Stemmers for Irish Gaelic and Czech](http://snowball.tartarus.org/otherapps/oregan/intro.html) but  
> i do not know how to integrate this with ES to try it.
> 
> basically what i would like to happen is:  
> input string (1):  
> Přihláška  
> indexed strings (2):  
> přihláška  
> prihlaska
> 
> i do not care about word bending too much. by that i mean, that i do not  
> require transferring "Přihláška", "Přihlášky" .. into "prihlask"
> 
> right now, the only solution i can think of, is filtering those characters  
> in the application.

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<div class="post-metadata">

**Author:** ![gondo\_2](https://avatars.discourse-cdn.com/v4/letter/g/f08c70/32.png) [@gondo\_2](https://discuss.elastic.co/u/gondo_2)\
**Post date:** [April 27, 2013, 11:17am UTC](https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631/10 "2013-04-27T11:17:53Z")

</div>

to correct myself for anyone who might be reading this, default analyzer  
should be "default" and not "_default_"

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**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, 2:39am UTC](https://discuss.elastic.co/t/lang-czech-analyzer-with-asciifolding-tokenizer-or-icu-tokenizer/11631/11 "2017-07-06T02:39:24Z")

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