Comments (3)
Hi, @lierisme , if you want to support Chinese, you just need to update the tokenizer, you could find a Chinese tokenizer, or, you could just tokenize Chinese by each word.
Chinese tokenizer is a complex package, so if you want to support a good chinese tokenizer, I think elasticlunr.js should not be run in browser
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I replace the default to use jieba, but I do not why "Pipeline" return a empty array.
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For supporting Chinese ,
-
Change tokenizer or do tokenization before elasticlunr's default tokenizer. For example, "能够支持中文吗"->"能够 支持 中文 吗", after this preprocessing, the default tokenizer can work by split space. For tokenization, nodejieba, @node-rs/jieba or regex to split every character can be used.
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[Your issue] Remove default elasticlunr.trimmer, by
index.pipeline.remove(elasticlunr.trimmer)
. The default trimmer trims all non-english characters, which results your issue. -
Further work. Make your own pipeline to process text, including tokenizer, trimmer, stemmer and stopword filter. Examples are in weixsong/lunr-languages.
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Related Issues (20)
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