NLPeterman aims to be a package for performant natural language processing.
Using NLPeterman functionality out of the box requires downloading pre-trained models
import NLPeterman; const NLP = NLPeterman
# Loads the tagger component
tagger = NLP.loadmodel("tagger-en-v0.1.0", "tagger")After loading the model, create a pipeline for processing text.
pipe = NLP.Pipeline(tagger)
pd = pipe("All work and no play makes Jack a dull boy!")
NLP.uposname.(pd[1])
#=
11-element Array{String,1}:
"DET"
"NOUN"
"CCONJ"
"DET"
"NOUN"
"VERB"
"PROPN"
"DET"
"ADJ"
"NOUN"
"PUNCT"
=#tagger-en-v0.1.0 : tagger