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I was looking at issue #183 regarding starts with logic. This seems to be a result of how the Ngram tokenizer works. I was playing around with implementing a tokenizer that would output interword tokens. It would generate a lot more tokens. I noticed normalizeTokens does not return unique list tokens. It seems like getIntersection efficiency would benefit from being fed a unique list? Would there be any downsides to this?
The text was updated successfully, but these errors were encountered:
typeahead.js/src/bloodhound/search_index.js
Line 136 in 662ee46
I was looking at issue #183 regarding starts with logic. This seems to be a result of how the Ngram tokenizer works. I was playing around with implementing a tokenizer that would output interword tokens. It would generate a lot more tokens. I noticed normalizeTokens does not return unique list tokens. It seems like getIntersection efficiency would benefit from being fed a unique list? Would there be any downsides to this?
The text was updated successfully, but these errors were encountered: