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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 Page: 1 2 Hits 1 – 20 of 30 1 Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ... Vaduguru, Saujas; Sathe, Aalok; Choudhury, Monojit. - : arXiv, 2021 BASE Show details 2 Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ... 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; Choudhury, Monojit; Misra Sharma, Dipti. - : Underline Science Inc., 2021 BASE Show details 3 Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance ... K, Karthikeyan; Sathe, Aalok; Aditya, Somak. - : arXiv, 2021 BASE Show details 4 Predicting the Performance of Multilingual NLP Models ... Srinivasan, Anirudh; Sitaram, Sunayana; Ganu, Tanuja. - : arXiv, 2021 BASE Show details 5 On the Universality of Deep Contextual Language Models ... Bhatt, Shaily; Goyal, Poonam; Dandapat, Sandipan. - : arXiv, 2021 BASE Show details 6 Designing Language Technologies for Social Good: The Road not Taken ... Mukhija, Namrata; Choudhury, Monojit; Bali, Kalika. - : arXiv, 2021 BASE Show details 7 Use of Formal Ethical Reviews in {NLP} Literature: {H}istorical Trends and Current Practices ... 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; Choudhury, Monojit; Rani, Anku. - : Underline Science Inc., 2021 BASE Show details 8 GLUECoS : An Evaluation Benchmark for Code-Switched NLP ... Khanuja, Simran; Dandapat, Sandipan; Srinivasan, Anirudh. - : arXiv, 2020 BASE Show details 9 A New Dataset for Natural Language Inference from Code-mixed Conversations ... Khanuja, Simran; Dandapat, Sandipan; Sitaram, Sunayana. - : arXiv, 2020 BASE Show details 10 The State and Fate of Linguistic Diversity and Inclusion in the NLP World ... Joshi, Pratik; Santy, Sebastin; Budhiraja, Amar. - : arXiv, 2020 BASE Show details 11 TaxiNLI: Taking a Ride up the NLU Hill ... Joshi, Pratik; Aditya, Somak; Sathe, Aalok. - : arXiv, 2020 BASE Show details 12 MSIR@FIRE: A Comprehensive Report from 2013 to 2016 Banerjee, Somnath; Choudhury, Monojit; Das, Amitava. - : Springer, 2020 BASE Show details 13 Phone Merging for Code-switched Speech Recognition Sivasankaran, Sunit; Srivastava, Brij Mohan Lal; Sitaram, Sunayana; Bali, Kalika; Choudhury, Monojit 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) Abstract: International audience ; Speakers in multilingual communities often switch between or mix multiple languages in the same conversation. Automatic Speech Recognition (ASR) of code-switched speech faces many challenges including the influence of phones of different languages on each other. This paper shows evidence that phone sharing between languages improves the Acoustic Model performance for Hindi-English code-switched speech. We compare base-line system built with separate phones for Hindi and English with systems where the phones were manually merged based on linguistic knowledge. Encouraged by the improved ASR performance after manually merging the phones, we further investigate multiple data-driven methods to identify phones to be merged across the languages. We show detailed analysis of automatic phone merging in this language pair and the impact it has on individual phone accuracies and WER. Though the best performance gain of 1.2% WER was observed with manually merged phones, we show experimentally that the manual phone merge is not optimal. Keyword: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]; Code switching; Speech recognigntion URL: https://hal.inria.fr/hal-01800466 https://hal.inria.fr/hal-01800466/document https://hal.inria.fr/hal-01800466/file/phone-merging-acl.pdf BASE Hide details 14 Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media ... Patro, Jasabanta; Samanta, Bidisha; Singh, Saurabh. - : arXiv, 2017 BASE Show details 15 Network based models of cognitive and social dynamics of human languages Muresan, Smaranda; Mukherjee, Animesh; Hassan, Samer... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 25 (2011) 3, 635-638 BLLDB OLC Linguistik Show details 16 Modelling the redundancy of human speech sound inventories: an information theoretic approach Ganguly, Niloy; Choudhury, Monojit; Mukherjee, Animesh... In: Journal of quantitative linguistics. - London : Routledge 17 (2010) 4, 317-343 BLLDB OLC Linguistik Show details 17 Indian Language Part-of-Speech Tagset: Bengali Bali, Kalika; Choudhury, Monojit; Biswas, Priyanka. - : Linguistic Data Consortium, 2010. : https://www.ldc.upenn.edu, 2010 BASE Show details 18 Indian Language Part-of-Speech Tagset: Hindi Bali, Kalika; Choudhury, Monojit; Biswas, Priyanka. - : Linguistic Data Consortium, 2010. : https://www.ldc.upenn.edu, 2010 BASE Show details 19 Indian Language Part-of-Speech Tagset: Bengali ... Bali, Kalika; Choudhury, Monojit; Biswas, Priyanka. - : Linguistic Data Consortium, 2010 BASE Show details 20 Indian Language Part-of-Speech Tagset: Hindi ... Bali, Kalika; Choudhury, Monojit; Biswas, Priyanka. - : Linguistic Data Consortium, 2010 BASE Show details Page: 1 2

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