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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 Hits 1 – 12 of 12 1 When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? ... Mao, Zhuoyuan; Chu, Chenhui; Dabre, Raj. - : arXiv, 2022 BASE Show details 2 IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages ... Kumar, Aman; Shrotriya, Himani; Sahu, Prachi. - : arXiv, 2022 BASE Show details 3 Extremely low-resource neural machine translation for Asian languages [<Journal>] Rubino, Raphael [Verfasser]; Marie, Benjamin [Verfasser]; Dabre, Raj [Verfasser]. DNB Subject Category Language Show details 4 IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages ... Dabre, Raj; Shrotriya, Himani; Kunchukuttan, Anoop. - : arXiv, 2021 BASE Show details 5 Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages ... Kanojia, Diptesh; Dabre, Raj; Dewangan, Shubham. - : arXiv, 2021 BASE Show details 6 A Comprehensive Survey of Multilingual Neural Machine Translation ... Dabre, Raj; Chu, Chenhui; Kunchukuttan, Anoop. - : arXiv, 2020 Abstract: We present a survey on multilingual neural machine translation (MNMT), which has gained a lot of traction in the recent years. MNMT has been useful in improving translation quality as a result of translation knowledge transfer (transfer learning). MNMT is more promising and interesting than its statistical machine translation counterpart because end-to-end modeling and distributed representations open new avenues for research on machine translation. Many approaches have been proposed in order to exploit multilingual parallel corpora for improving translation quality. However, the lack of a comprehensive survey makes it difficult to determine which approaches are promising and hence deserve further exploration. In this paper, we present an in-depth survey of existing literature on MNMT. We first categorize various approaches based on their central use-case and then further categorize them based on resource scenarios, underlying modeling principles, core-issues and challenges. Wherever possible we address the ... : This is an extended version of our survey paper on multilingual NMT. The previous version [arXiv:1905.05395] is rather condensed and is useful for speed-reading whereas this version is more beginner friendly. Under review at the computing surveys journal. We have intentionally decided to maintain both short and long versions of our survey paper for different reader groups ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.2001.01115 https://arxiv.org/abs/2001.01115 BASE Hide details 7 Softmax Tempering for Training Neural Machine Translation Models ... Dabre, Raj; Fujita, Atsushi. - : arXiv, 2020 BASE Show details 8 Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages ... The 28th International Conference on Computational Linguistics 2020; ., Gholamreza; Bhattacharyya, Pushpak. - : Underline Science Inc., 2020 BASE Show details 9 JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation ... Mao, Zhuoyuan; Cromieres, Fabien; Dabre, Raj. - : arXiv, 2020 BASE Show details 10 Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation ... Imankulova, Aizhan; Dabre, Raj; Fujita, Atsushi. - : arXiv, 2019 BASE Show details 11 MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing ... Dabre, Raj; Kurohashi, Sadao. - : arXiv, 2017 BASE Show details 12 Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages ... Dabre, Raj; Cromieres, Fabien; Kurohashi, Sadao. - : arXiv, 2017 BASE Show details

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