I just build a spell-checker for Wolof, my native language, using some basic rules and a dictionary I managed to put together. I need your help finding open source tools for NLP that are language agnostic or do not require lot of heavy lifting to adapt to a new locale.<p>Thanks for your help.<p>If you would like to test my spell-checker : https://digibox.info/apps/experiments/wolofix/
Polyglot [0] is a python multilingual NLP toolkit.
The quality is not great, but it supports a lot of languages.<p>[0] <a href="https://github.com/aboSamoor/polyglot" rel="nofollow">https://github.com/aboSamoor/polyglot</a>
Far from an expert but I was just discussing this with a former colleague about a specific problem he is considering and I found this: <a href="https://www.r-bloggers.com/natural-language-processing-for-non-english-languages-with-udpipe/" rel="nofollow">https://www.r-bloggers.com/natural-language-processing-for-n...</a>
The Lucene API has a lot of language specific tokenizers and analyzers that will help normalize what a term is in the index regardless of language. You can then apply various statistical NLP methods which tend to be more language agnostic.
I work in NLP at a company that actually develops language agnostic solutions, but I'm not aware of any open-source tool that can do this.<p>Nonetheless, if you can be more specific about what kind of tools you are looking for maybe I can give you some pointers.