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Multi-source transformer with combined losses for automatic post editing., , , and . WMT (shared task), page 846-852. Association for Computational Linguistics, (2018)A vis-à-vis evaluation of MT paradigms for linguistically distant languages., , and . ICON, page 33-42. NLP Association of India, (2017)Multi-source Transformer for Automatic Post-Editing., , , and . CLiC-it, volume 2253 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)No more beating about the bush : A Step towards Idiom Handling for Indian Language NLP., , , and . LREC, European Language Resources Association (ELRA), (2018)Contextual Handling in Neural Machine Translation: Look behind, ahead and on both sides., , and . EAMT, page 31-40. (2018)Integrating Knowledge Encoded by Linguistic Phenomena of Indian Languages with Neural Machine Translation., , and . MIKE, volume 10682 of Lecture Notes in Computer Science, page 287-296. Springer, (2017)Structure-Aware Audio-to-Score Alignment Using Progressively Dilated Convolutional Neural Networks., , and . ICASSP, page 571-575. IEEE, (2021)Three-phase training to address data sparsity in Neural Machine Translation., , and . ICON, page 13-22. NLP Association of India, (2017)Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment., and . EUSIPCO, page 141-145. IEEE, (2020)A Hybrid Approach to Audio-to-Score Alignment., and . CoRR, (2020)