Stemmer token filter result is different that it should be

Elastic Stack Elasticsearch
1

If I try to analyze the following text

GET _analyze?analyzer=french&text=Ils maintenaient la machine

It results 2 tokens: "maintenaient", "machin".

Elasticsearch apply more options to the default snowball stemming
algorithm. Without these options, the result for the first token should be
"mainten" (approved by the
documentation http://snowball.tartarus.org/algorithms/french/stemmer.html).

What are these additional options that elasticsearch add to the standard
snowball analyzer?

TIA

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2

When you use the "french" analyzer it uses the Lucene FrenchAnalyzer
behind the scenes, which does not use the snowball algorithm.

It uses the Savoy stemmer, the same as specifying "light_french"
stemmer: Elasticsearch Platform — Find real-time answers at scale | Elastic

On Tue, May 20, 2014 at 8:03 AM, adrienbigler@gmail.com wrote:

If I try to analyze the following text

GET _analyze?analyzer=french&text=Ils maintenaient la machine

It results 2 tokens: "maintenaient", "machin".

Elasticsearch apply more options to the default snowball stemming algorithm.
Without these options, the result for the first token should be "mainten"
(approved by the documentation
French stemming algorithm).

What are these additional options that elasticsearch add to the standard
snowball analyzer?

TIA

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For more options, visit https://groups.google.com/d/optout.

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