This repository contains code and data for the 2024 ACL-SRW paper "A Computational Analysis and Exploration of Linguistic Borrowings in French Rap Lyrics" by Lucas Zurbuchen and Rob Voigt.
In order to access the Spotify and Genius APIs, obtain the necessary information and put into the GENIUS_TOKEN, SPOTIFY_CLIENT_ID, and SPOTIFY_CLIENT_SECRET fields in config.py while also installing lyricsgenius and spotipy on pip (also be aware of the Spotify API Terms in particular).
The MusicBrainz API offers useful information on the birthplaces and birth dates of artists -- enter the necessary information into the EMAIL field in config.py while also installing musicbrainzngs on pip in order to use.
For open-source use, access frenchDataNew.json and frenchDataOldSongs.json in dataEntries to view songs after and before 2015. ideaFrance offers getDataOfInterest() and getArtists() in open_files.py to merge the list of songs and artists.
In ideaFrance, view collectedData for borrowedWords.csv and borrowedWordsLangKey.csv for information on the borrowed words examined.
To gather information on French rap songs like in dataEntries, run python lyricCollection/mainDataCollector.py.
To obtain information about the usage of all collected borrowed words, run python ideaFrance/collectAllGraphs.py.
Lastly, quickPlot.py will output a matplotlib plot of any word's usage over time in the corpus.
If you have any questions, feel free to reach out at lucaszurbuchen2024@u.northwestern.edu.