nltk/nltk: papers linking to it

GitHub · 14,765 stars · 3,081 forks · Python · license Apache-2.0 · created 2009 · github.com/nltk/nltk

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to nltk/nltk (https://github.com/nltk/nltk), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

3 papers in the tracked journals link to the GitHub repository nltk/nltk in their Crossref records, the first in 2020; most of them (1) in 2026.
By category: Information Systems (1), AI (1) and Higher Education and Research (1); the journals with the most are International Journal of Information Management Data Insights (1), Neural Computing and Applications (1) and Scientometrics (1).

By year#

20202026

Papers linking to nltk/nltk by publication year
Year	Papers
2020	1
2024	1
2026	1

Journals#

Journals whose papers link to nltk/nltk most
Journal	Papers
International Journal of Information Management Data Insights	1
Neural Computing and Applications	1
Scientometrics	1

Papers linking to nltk/nltk, most cited first
Published	Title	Journal	Authors	Citations	Link
2020-09-18	Semi-supervised deep learning based named entity recognition model to parse education section of resumes	Neural Computing and Applications	Bodhvi Gaur, Gurpreet Singh Saluja, Hamsa Bharathi Sivakumar et al.	49	cites it
2024-08-09	Revealing dynamic co-authorship structure in the social sciences through blockmodeling: the Slovenian case (1991–2020)	Scientometrics	Fabio Ashtar Telarico, Franc Mali, Aleš Žiberna	6	cites it
2026-03-27	The innovation–compliance–perception framework as a lens for AI governance — NLP evidence from Meta's smart glasses and GDPR discourse	International Journal of Information Management Data Insights	Sezai Tunca	1	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). nltk/nltk: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-nltk-nltk

@misc{scholar4ai-code-github-nltk-nltk,
  author = {{Scholar4AI}},
  title = {nltk/nltk: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-nltk-nltk}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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