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Cross-lingual and Multilingual Spoken Term Detection for Low-Resource Indian Languages

Nov 12, 2020
Sanket Shah, Satarupa Guha, Simran Khanuja, Sunayana Sitaram

* 5 pages, 2 figures, 6 tables, 17 references 

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Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition

Jun 09, 2020
Gurunath Reddy Madhumani, Sanket Shah, Basil Abraham, Vikas Joshi, Sunayana Sitaram

* 5 pages (4 pages + 1 reference), 3 tables, 2 figures 

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Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition

Jun 01, 2020
Sanket Shah, Basil Abraham, Gurunath Reddy M, Sunayana Sitaram, Vikas Joshi

* 5 pages (4 pages + 1 page references), 5 tables, 1 figure, 1 algorithm, 16 references 

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GLUECoS : An Evaluation Benchmark for Code-Switched NLP

May 14, 2020
Simran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, Sunayana Sitaram, Monojit Choudhury

* To appear at ACL 2020 

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A New Dataset for Natural Language Inference from Code-mixed Conversations

Apr 13, 2020
Simran Khanuja, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury

* To appear in CALCS, LREC 2020 

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Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities

Dec 07, 2019
Pratik Joshi, Christain Barnes, Sebastin Santy, Simran Khanuja, Sanket Shah, Anirudh Srinivasan, Satwik Bhattamishra, Sunayana Sitaram, Monojit Choudhury, Kalika Bali

* Accepted at ICON 2019; 9 pages 

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End-to-End ASR for Code-switched Hindi-English Speech

Jun 22, 2019
Brij Mohan Lal Srivastava, Basil Abraham, Sunayana Sitaram, Rupesh Mehta, Preethi Jyothi


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A Survey of Code-switched Speech and Language Processing

Apr 02, 2019
Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Alan W Black


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Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning

May 12, 2016
Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David Mortensen, Alan W Black, Lori Levin, Chris Dyer

* Proceedings of NAACL 2016; 10 pages 

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