Dear Christian,
Thank you very much for this quick and enlightening response.
Without having had (yet) the opportunity to test it, I have indeed read the Japanese text tokenizer. Supporting Chinese tokenization would also be a great help.
I have never tested what Lucene offers, especially since I have to manage texts in traditional Chinese and simplified Chinese (without reading either one myself). I would like to test Lucene's analyzers, but I don't know how to do it in BaseX?
Best regards, Philippe Pons
Le 12/10/2020 à 12:01, Christian Grün a écrit :
Dear Philippe,
As the Chinese language rarely uses inflection, there is usually no need to perform stemming on texts. However, tokenization will be necessary indeed. Right now, BaseX provides no tokenizer/analyzer for Chinese texts. It should be possible indeed to adopt code from Lucene, as we’ve already done for other languages (our software licenses allow that).
Have you already worked with tokenization of Chinese texts in Lucene? If yes, which of the 3 available analyzers [1] have proven to yield the best results?
As you may know, one of our users, Toshio HIRAI, has contributed a tokenizer for Japanes texts in the past [2]. If we decide to include support for Chinese tokenization, it might as well be interesting to compare the results of the Apache tokenizer with our internal tokenizer.
Cordiales salutations, Christian
[1] https://lucene.apache.org/core/7_2_0/analyzers-common/org/apache/lucene/anal... [2] https://docs.basex.org/wiki/Full-Text:_Japanese
On Mon, Oct 12, 2020 at 11:37 AM Philippe Pons philippe.pons@college-de-france.fr wrote:
Dear BaseX Team,
I'm actually working on chinese texts in TEI. I would like to know if stemming chinese text is possible in BaseX, as we can do with other languages (like english or deutsch)? Or maybe there is a way to add this functionnality with Lucene?
Best regards, Philippe Pons
-- Ingénieur d'étude chargé de l'édition de corpus numériques Centre de recherche sur les civilisations de l'Asie Orientale CRCAO - UMR 8155 (Collège de France, EPHE, CNRS, PSL Research University, Univ Paris Diderot, Sorbonne Paris Cité) 49bis avenue de la Belle Gabrielle 75012 Paris https://cv.archives-ouvertes.fr/ppons