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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Predicting the Performance of Multilingual NLP Models ... Srinivasan, Anirudh; Sitaram, Sunayana; Ganu, Tanuja. - : arXiv, 2021 BASE Show details 2 Multilingual and code-switching ASR challenges for low resource Indian languages ... Diwan, Anuj; Vaideeswaran, Rakesh; Shah, Sanket. - : arXiv, 2021 BASE Show details 3 On the Universality of Deep Contextual Language Models ... Bhatt, Shaily; Goyal, Poonam; Dandapat, Sandipan. - : arXiv, 2021 BASE Show details 4 A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bullock, Barbara; Sitaram, Sunayana; Toribio, Almeida Jacqueline. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.131 Abstract: 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 linguistic and social aspects of C-S discussed across a wide range of languages within the long-established literature in linguistics. To fill this gap, we offer a survey of code-switching (C-S) covering the literature in linguistics with a reflection on the key issues in language technologies. From the linguistic perspective, we provide an overview of structural and functional patterns of C-S focusing on the literature from European and Indian contexts as highly multilingual areas. From the language technologies perspective, we discuss how massive language models fail to represent diverse C-S types due to lack of appropriate training data, lack of robust evaluation benchmarks for C-S (across ... URL: https://underline.io/lecture/25440-a-survey-of-code-switching-linguistic-and-social-perspectives-for-language-technologies https://dx.doi.org/10.48448/28tb-rb64 BASE Hide details 5 GLUECoS : An Evaluation Benchmark for Code-Switched NLP ... Khanuja, Simran; Dandapat, Sandipan; Srinivasan, Anirudh. - : arXiv, 2020 BASE Show details 6 A New Dataset for Natural Language Inference from Code-mixed Conversations ... Khanuja, Simran; Dandapat, Sandipan; Sitaram, Sunayana. - : arXiv, 2020 BASE Show details 7 Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition ... Madhumani, Gurunath Reddy; Shah, Sanket; Abraham, Basil. - : arXiv, 2020 BASE Show details 8 Cross-lingual and Multilingual Spoken Term Detection for Low-Resource Indian Languages ... Shah, Sanket; Guha, Satarupa; Khanuja, Simran. - : arXiv, 2020 BASE Show details 9 Phone Merging for Code-switched Speech Recognition Sivasankaran, Sunit; Srivastava, Brij Mohan Lal; Sitaram, Sunayana... In: Third Workshop on Computational Approaches to Linguistic Code-switching ; https://hal.inria.fr/hal-01800466 ; Third Workshop on Computational Approaches to Linguistic Code-switching, collocated with ACL 2018 Jul 2018, Melbourne, Australia (2018) BASE Show details 10 Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning ... Tsvetkov, Yulia; Sitaram, Sunayana; Faruqui, Manaal. - : arXiv, 2016 BASE Show details

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