Skip to main content

A simple NLP toolkit with functions for plural words, text splitting, stemming, lemmatizing, stop word removal, sentence tokenization, edit distance calculation, n-gram models, bigram probability calculation, Kneser-Ney smoothing, sentiment analysis, text chunking, POS tagging, HMM POS tagging, Named Entity Recognition, Markov Chains, Thematic Role Labeling, PropBank lookup, FrameNet lookup, relation extraction, relation classification, and method listing

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nlltk-1.0.0-py3-none-any.whl (15.7 kB view details)

Uploaded Python 3

File details

Details for the file nlltk-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: nlltk-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 15.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.0

File hashes

Hashes for nlltk-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ab1308fb644b419367f5ecbdcdcb7c473105303ff2c0ee539ea1e7b348ebed3e
MD5 a2f06ab846dd41ebf06f70b6d55ceefd
BLAKE2b-256 d857bfe0fee4dd40d65208cc9fd5106cb6d5c7bb40935cdfcebaa71490f39a57

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page