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Augmenting training data with syntactic phrasal-segments in low-resource neural machine translation.

, , , , , and . Mach. Transl., 35 (4): 661-685 (2021)

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Investigating Active Learning in Interactive Neural Machine Translation., , , , and . MTSummit (1), page 10-22. Association for Machine Translation in the Americas, (2021)IITP-MT at WAT2021: Indic-English Multilingual Neural Machine Translation using Romanized Vocabulary., , , and . WAT@ACL/IJCNLP, page 238-243. Association for Computational Linguistics, (2021)Pre-training Synthetic Cross-lingual Decoder for Multilingual Samples Adaptation in E-Commerce Neural Machine Translation., , , and . EAMT, page 239-246. European Association for Machine Translation, (2022)IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus., , , and . CALCS@NAACL, page 31-35. Association for Computational Linguistics, (2021)Augmenting training data with syntactic phrasal-segments in low-resource neural machine translation., , , , , and . Mach. Transl., 35 (4): 661-685 (2021)IITP-MT System for Gujarati-English News Translation Task at WMT 2019., , , and . WMT (2), page 407-411. Association for Computational Linguistics, (2019)Modelling Source- and Target- Language Syntactic Information as Conditional Context in Interactive Neural Machine Translation., , , , and . EAMT, page 195-204. European Association for Machine Translation, (2020)Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation., , , and . MTSummit (1), page 243-255. Association for Machine Translation in the Americas, (2021)Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders., , , and . ACL (1), page 3083-3089. Association for Computational Linguistics, (2019)Improving Low-Resource NMT with Parser Generated Syntactic Phrases., , , and . CICLing (1), volume 13451 of Lecture Notes in Computer Science, page 533-544. Springer, (2019)