nltkp 0.2.0

NLP experiments package using NLTK, spaCy, and gensim

nltkp

NLP experiments package using NLTK, spaCy, and gensim.

nltkp is a Python package that bundles a collection of NLP experiment modules. Its standout feature is that you can print the full source code of any module directly from Python — great for learning and sharing.

Installation

pip install nltkp

✨ Special Feature — View Module Source Code

After installing, you can inspect the source of any module inside the package:

import nltkp

# List all available modules
nltkp.list_modules()

# Print the full source code of a module
nltkp.show("entropy")
nltkp.show("bigram")
nltkp.show("ner")
nltkp.show("word2vec")

Example Output

============================================================
  nltkp/entropy.py
============================================================

import math
from collections import Counter
from nltk.corpus import brown, reuters
...

Available Modules

Module	Description
bigram	Bigram language model with Add-k smoothing
cyk	CYK parsing algorithm
entropy	Entropy, cross-entropy & perplexity with NLTK corpora
fsa	Finite State Automaton
hmmpos	Hidden Markov Model POS tagger
morphoanalyrule	Rule-based morphological analyzer
ner	Named Entity Recognition with spaCy
ngram	N-gram language models
pmi	Pointwise Mutual Information
spellngram	Spell correction with N-grams
textnltk	Text processing utilities
unigram	Unigram language model
word2vec	Word2Vec embeddings with Gensim

License

MIT License