https://github.com/capjamesg/linguist.link

Find the most surprising words and most common n-grams on a web page.

https://github.com/capjamesg/linguist.link

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.7%) to scientific vocabulary

Keywords

linguistics ngrams nlp
Last synced: 5 months ago · JSON representation

Repository

Find the most surprising words and most common n-grams on a web page.

Basic Info
  • Host: GitHub
  • Owner: capjamesg
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage: https://linguist.link
  • Size: 262 KB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
linguistics ngrams nlp
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme License

README.md

linguist.link

Find the most surprising words and most common n-grams on a web page.

A linguist.link analysis for an article published by the Guardian

Acknowledgements

This project uses the New York Times articles dataset on Kaggle for calculating word surprisals in English.

License

This project is licensed under an MIT license.

Contributors

  • capjamesg

Owner

  • Name: James
  • Login: capjamesg
  • Kind: user
  • Location: Scotland
  • Company: @Roboflow

from words, wonder.

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