A Light-weight and Fast Python NLP Library
The plan is to provide light-weight neural models for various downstream NLP tasks such as POS Taggging, Named Entity Recognition, Sentiment Analysis, etc. However, right now POS Tagging is the only task that is supported.
pip
pip install convex
From Source
git clone https://github.com/nilansaha/convex.git
cd convex
pip install -e .
The model only needs to be downloaded the first time the tagger is used or after the package is updated
import convex
convex.download() # Download all the necessary models
tagger = convex.PosTagger() # Initialize the Pos Tagging Pipeline
tagger("Let's check out this new tagger") # Tag a sentence
Output -
[('Let', 'VERB'), ("'s", 'PRON'), ('check', 'VERB'), ('out', 'ADP'), ('this', 'DET'), ('new', 'ADJ'), ('tagger', 'NOUN')]