LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems

Autor: Anirudh Srinivasan, Gauri Kholkar, Rahul Kejriwal, Tanuja Ganu, Sandipan Dandapat, Sunayana Sitaram, Balakrishnan Santhanam, Somak Aditya, Kalika Bali, Monojit Choudhury

Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence. 36:13227-13229

Pre-trained multilingual language models are gaining popularity due to their cross-lingual zero-shot transfer ability, but these models do not perform equally well in all languages. Evaluating task-specific performance of a model in a large number of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b809586b620bec750fc273dea57f5199
https://doi.org/10.1609/aaai.v36i11.21736

A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies

Autor: Barbara E. Bullock, A. Seza Doğruöz, Sunayana Sitaram, Almeida Jacqueline Toribio

Publikováno v: ACL/IJCNLP (1)
59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1 (ACL-IJCNLP 2021)

The analysis of data in which multiple languages are represented has gained popularity among computational linguists in recent years. So far, much of this research focuses mainly on the improvement of computational methods and largely ignores linguis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f007610005f211a85012775d756549f
https://doi.org/10.18653/v1/2021.acl-long.131

GLUECoS : An Evaluation Benchmark for Code-Switched NLP

Autor: Sunayana Sitaram, Simran Khanuja, Monojit Choudhury, Sandipan Dandapat, Anirudh Srinivasan

Publikováno v: ACL

Code-switching is the use of more than one language in the same conversation or utterance. Recently, multilingual contextual embedding models, trained on multiple monolingual corpora, have shown promising results on cross-lingual and multilingual tas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de1e82356acfa3558f6494ce3471c8fc

CoSSAT: Code-Switched Speech Annotation Tool

Autor: Sunayana Sitaram, Sanket Shah, Pratik Joshi, Sebastin Santy

Publikováno v: Proceedings of the First Workshop on Aggregating and Analysing Crowdsourced Annotations for NLP.

Code-switching refers to the alternation of two or more languages in a conversation or utterance and is common in multilingual communities across the world. Building code-switched speech and natural language processing systems are challenging due to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9a84a4cb150360530491100bb537eab1
https://doi.org/10.18653/v1/d19-5907

Effect of TTS Generated Audio on OOV Detection and Word Error Rate in ASR for Low-resource Languages

Autor: Sunayana Sitaram, Savitha Murthy, Dinkar Sitaram

Publikováno v: INTERSPEECH

Out-of-Vocabulary (OOV) detection and recovery is an important aspect of reducing Word Error Rate (WER) in Automatic Speech Recognition (ASR). In this paper, we evaluate the effect of OOV detection and recovery for a low-resource language on WER. We

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::255dfd395d845c747007c023b034b918
https://doi.org/10.21437/interspeech.2018-1555