arghya bhattacharay <arghyati...@gmail.com> čálii: > Greetings everyone, > > I'm trying to build a python API for the apertium core modules. > > It would be really helpful to get to know what are the python NLP libraries > that people generally prefer to use so as to gain some insight on what is > desirable in the API being built and explore the various implementation > types that users find convenient. > > I would request one and all to kindly give their inputs on their choice of > python NLP libraries.
Hi,
I find both SpaCy and scikit-learn[2] to be quite nice to use, and they
both have great documentation. SpaCy is probably the most relevant here;
their models[3] page shows how easy it is to get started analysing text
with it. It'd be *very* cool if we could simply
$ python3 -m apertium download oci
$ python3
>>> import apertium
>>> oci = apertium.load('oci')
>>> analysis = oci("desvolopament de las coneissenças")
[1] https://spacy.io/
[2] http://scikit-learn.org/stable/
[3] https://spacy.io/models/
--
Kevin Brubeck Unhammer
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