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Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations., , and . CoRR, (2017)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)Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning., , , and . CoRR, (2018)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 . CoRR, (2022)A Comprehensive Analysis of Adapter Efficiency., , , , , and . CoRR, (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)Studying the plasticity in deep convolutional neural networks using random pruning., , , and . Mach. Vis. Appl., 30 (2): 203-216 (2019)