Wink-lemmatizer
winkjs.org
Wink-lemmatizer
1–10 of 23 posts
Re: Wink-lemmatizer
#2Here's a link to the github (AGPL 3.0) - https://github.com/winkjs/wink-lemmatizer
Very cool! It looks like this is only for English at the moment, but it would be cool to see this for other languages as well.
Re: Wink-lemmatizer
#3It would be really cool if they had a live demo to try it out on their site.
Re: Wink-lemmatizer
#4It would be really cool if they had a live demo to try it out on their site.
Here you go. This works for many npm packages. https://npm.runkit.com/wink-lemmatizer
Re: Wink-lemmatizer
#5any plans for multi-language support?
Re: Wink-lemmatizer
#6any plans for multi-language support?
This is really needed in the NLP world. Most things are english only.
Re: Wink-lemmatizer
#7any plans for multi-language support?
This is really needed in the NLP world. Most things are english only.
Good luck with Turkish. A very large lookup table may work for %90 cases but it will still fail. A basic `true` lemmatizer requires either a complex graph with rules, or an FST generated from it. input is searched through the graph and morphological disambiguator must be applied to result to pick the correct lemma.
Re: Wink-lemmatizer
#8Nice. Any plans for the following features?
- instead of calling the API using "noun", "verb", etc, let the library figure out the type of word.
- let the library return information about the word, e.g. "coolest" -> "cool"+superlative.
Re: Wink-lemmatizer
#9Earlier quoted context omitted.
This is really needed in the NLP world. Most things are english only.
Good luck with Turkish. A very large lookup table may work for %90 cases but it will still fail. A basic `true` lemmatizer requires either a complex graph with rules, or an FST generated from it. input is searched through the graph and morphological disambiguator must be applied to result to pick the correct lemma.
Or Welsh. You want a canonical form for "wnaethpwyd"? Try "gwneud"! Some regexes and an exceptions list isn't going to cut it.
The more a language needs a lemmatizer for NLP the harder it is to write it.