LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation

Gustavo Aguilar, Sudipta Kar, Thamar Solorio


Abstract
Recent trends in NLP research have raised an interest in linguistic code-switching (CS); modern approaches have been proposed to solve a wide range of NLP tasks on multiple language pairs. Unfortunately, these proposed methods are hardly generalizable to different code-switched languages. In addition, it is unclear whether a model architecture is applicable for a different task while still being compatible with the code-switching setting. This is mainly because of the lack of a centralized benchmark and the sparse corpora that researchers employ based on their specific needs and interests. To facilitate research in this direction, we propose a centralized benchmark for Linguistic Code-switching Evaluation (LinCE) that combines eleven corpora covering four different code-switched language pairs (i.e., Spanish-English, Nepali-English, Hindi-English, and Modern Standard Arabic-Egyptian Arabic) and four tasks (i.e., language identification, named entity recognition, part-of-speech tagging, and sentiment analysis). As part of the benchmark centralization effort, we provide an online platform where researchers can submit their results while comparing with others in real-time. In addition, we provide the scores of different popular models, including LSTM, ELMo, and multilingual BERT so that the NLP community can compare against state-of-the-art systems. LinCE is a continuous effort, and we will expand it with more low-resource languages and tasks.
Anthology ID:
2020.lrec-1.223
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
1803–1813
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.223
DOI:
Bibkey:
Cite (ACL):
Gustavo Aguilar, Sudipta Kar, and Thamar Solorio. 2020. LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 1803–1813, Marseille, France. European Language Resources Association.
Cite (Informal):
LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation (Aguilar et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.223.pdf
Data
LinCE