evobib

A Bibliographic Database and Quote Collection

https://github.com/lingpy/evobib

Science Score: 26.0%

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
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

A Bibliographic Database and Quote Collection

Basic Info
  • Host: GitHub
  • Owner: lingpy
  • License: cc-by-4.0
  • Language: TeX
  • Default Branch: master
  • Size: 23.5 MB
Statistics
  • Stars: 2
  • Watchers: 5
  • Forks: 0
  • Open Issues: 2
  • Releases: 11
Created over 6 years ago · Last pushed 12 months ago
Metadata Files
Readme License Zenodo

README.md

EvoBib: A Bibliographic Database and Quote Collection

EvoBib is a collection of bibliographic entries and quotes. If you want to simply access the most recent version of the data, just download the files evobib-converted.bib and evoref.csv which contain the data in the most recent dumps (the original file evobib.bib contains many customized entries that may not work).

You can also access the most recent version of the the bibliography directly via its URL, thus when writing http://evobib.digling.org/evobib.py?key=Swadesh1955&display=bibtex, you will receive:

@article{Swadesh1955, author = {Swadesh, Morris}, journal = {International Journal of American Linguistics}, number = {2}, pages = {121-137}, title = {Towards greater accuracy in lexicostatistic dating}, url = {http://www.jstor.org/stable/1263939}, volume = {21}, year = {1955} }

In order to explore the data in a "normal" mode, just go to the main interface at http://evobib.digling.org.

If you want to reference this collection in your work, please quote the database as:

List, Johann-Mattis (2025): EvoBib: A bibliographic database and quote collection [Database, Version 1.10.0]. Passau: Chair for Multilingual Computational Linguistics. URL: https://evobib.digling.org/

Owner

  • Name: LingPy
  • Login: lingpy
  • Kind: organization
  • Email: info@lingpy.org

Python library for quantitative tasks in historical linguistics

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