Exploring a Choctaw Language Corpus with Word Vectors and Minimum Distance Length

Jacqueline Brixey, David Sides, Timothy Vizthum, David Traum, Khalil Iskarous


Abstract
This work introduces additions to the corpus ChoCo, a multimodal corpus for the American indigenous language Choctaw. Using texts from the corpus, we develop new computational resources by using two off-the-shelf tools: word2vec and Linguistica. Our work illustrates how these tools can be successfully implemented with a small corpus.
Anthology ID:
2020.lrec-1.334
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
2746–2753
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.334
DOI:
Bibkey:
Cite (ACL):
Jacqueline Brixey, David Sides, Timothy Vizthum, David Traum, and Khalil Iskarous. 2020. Exploring a Choctaw Language Corpus with Word Vectors and Minimum Distance Length. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 2746–2753, Marseille, France. European Language Resources Association.
Cite (Informal):
Exploring a Choctaw Language Corpus with Word Vectors and Minimum Distance Length (Brixey et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.334.pdf