Trivial example of keyword_repeat?

Could someone please share a trivial example of using Keyword Repeat Token
Filter
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-keyword-repeat-tokenfilter.html
to:
“[Emit] each incoming token twice once as keyword and once as a non-keyword
to allow an un-stemmed version of a term to be indexed side by si[d]e to
the stemmed version of the term"

Maybe I don’t understand its’ intent but is the idea to be able to tokenize
string “one two” into “one”, “two”, “one two” (last being unstemmed), right?

If so, I tried example config (in the docs) and input was not preserved:

http://localhost:9200/_analyze?pretty=true&text=one%20two&filters=lowercase,keyword_repeat,porter_stem,unique

{    "tokens" : [ {    "token" : "one",    "start_offset" : 0,    "end_offset" 

: 3, "type" : "", "position" : 1 }, { "token" : "two", "start_offset"
: 4, "end_offset" : 7, "type" : "", "position" : 2 } ]
}
Shouldn't* there be 3 tokens - “one”, “two”, “one two”?*

…using v 1.0.1

BTW, seems to make more sense to use ‘keyword’ tokenizer instead of
‘standard’ (since latter splits “one two” before filter is even enacted).
but that fails to return “one”, and “two”

http://localhost:9200/_analyze?pretty=true&text=one%20two&filters=lowercase,keyword_repeat,porter_stem,unique&tokenizer=keyword
{
"tokens" : [ {
"token" : "one two",
"start_offset" : 0,
"end_offset" : 7,
"type" : "word",
"position" : 1
} ]
}

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the repeat filter only applies to terms that actually get stemmed. ie if
you have "goes" it will be stemmed to "go" but with the repeat filter it
will also emit "goes" in addition to "go"

makes sense?

simon

On Thursday, March 13, 2014 12:38:00 AM UTC+1, Nikita Tovstoles wrote:

Could someone please share a trivial example of using Keyword Repeat
Token Filter
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-keyword-repeat-tokenfilter.html
to:
“[Emit] each incoming token twice once as keyword and once as a non-keyword
to allow an un-stemmed version of a term to be indexed side by si[d]e to
the stemmed version of the term"

Maybe I don’t understand its’ intent but is the idea to be able to
tokenize string “one two” into “one”, “two”, “one two” (last being
unstemmed), right?

If so, I tried example config (in the docs) and input was not preserved:

http://localhost:9200/_analyze?pretty=true&text=one%20two&filters=lowercase,keyword_repeat,porter_stem,unique

{    "tokens" : [ {    "token" : "one",    "start_offset" : 0,    "end_offset" 

: 3, "type" : "", "position" : 1 }, { "token" :
"two", "start_offset" : 4, "end_offset" : 7, "type" :
"", "position" : 2 } ] }
Shouldn't* there be 3 tokens - “one”, “two”, “one two”?*

…using v 1.0.1

BTW, seems to make more sense to use ‘keyword’ tokenizer instead of
‘standard’ (since latter splits “one two” before filter is even enacted).
but that fails to return “one”, and “two”

http://localhost:9200/_analyze?pretty=true&text=one%20two&filters=lowercase,keyword_repeat,porter_stem,unique&tokenizer=keyword
{
"tokens" : [ {
"token" : "one two",
"start_offset" : 0,
"end_offset" : 7,
"type" : "word",
"position" : 1
} ]
}

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