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Experiences in Resource Generation for Machine Translation through Crowdsourcing.

, , , , , , and . LREC, page 384-391. European Language Resources Association (ELRA), (2012)

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Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning., , , and . CoRR, (2018)Sharing Network Parameters for Crosslingual Named Entity Recognition., , and . CoRR, (2016)Experiences in Resource Generation for Machine Translation through Crowdsourcing., , , , , , and . LREC, page 384-391. European Language Resources Association (ELRA), (2012)IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages., , , , , , , , , and 4 other author(s). CoRR, (2023)Towards Building Text-to-Speech Systems for the Next Billion Users., , , , and . ICASSP, page 1-5. IEEE, (2023)On Knowledge distillation from complex networks for response prediction., , and . NAACL-HLT (1), page 3813-3822. Association for Computational Linguistics, (2019)Everybody loves a rich cousin: An empirical study of transliteration through bridge languages., , and . HLT-NAACL, page 420-428. The Association for Computational Linguistics, (2010)iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages., , , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4948-4961. Association for Computational Linguistics, (2020)Bhasa-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages., , and . ACL (2), page 816-826. Association for Computational Linguistics, (2023)All Words Domain Adapted WSD: Finding a Middle Ground between Supervision and Unsupervision., , , and . ACL, page 1532-1541. The Association for Computer Linguistics, (2010)