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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 – 9 of 9 1 When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? ... Mao, Zhuoyuan; Chu, Chenhui; Dabre, Raj; Song, Haiyue; Wan, Zhen; Kurohashi, Sadao. - : arXiv, 2022 Abstract: Word alignment has proven to benefit many-to-many neural machine translation (NMT). However, high-quality ground-truth bilingual dictionaries were used for pre-editing in previous methods, which are unavailable for most language pairs. Meanwhile, the contrastive objective can implicitly utilize automatically learned word alignment, which has not been explored in many-to-many NMT. This work proposes a word-level contrastive objective to leverage word alignments for many-to-many NMT. Empirical results show that this leads to 0.8 BLEU gains for several language pairs. Analyses reveal that in many-to-many NMT, the encoder's sentence retrieval performance highly correlates with the translation quality, which explains when the proposed method impacts translation. This motivates future exploration for many-to-many NMT to improve the encoder's sentence retrieval performance. ... : NAACL 2022 findings ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2204.12165 https://arxiv.org/abs/2204.12165 BASE Hide details 2 VISA: An Ambiguous Subtitles Dataset for Visual Scene-Aware Machine Translation ... Li, Yihang; Shimizu, Shuichiro; Gu, Weiqi. - : arXiv, 2022 BASE Show details 3 Linguistically-driven Multi-task Pre-training for Low-resource Neural Machine Translation ... Mao, Zhuoyuan; Chu, Chenhui; Kurohashi, Sadao. - : arXiv, 2022 BASE Show details 4 Attending Self-Attention: A Case Study ofVisually Grounded Supervision in Vision-and-Language Transformers ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chu, Chenhui; Garcia, Noa. - : Underline Science Inc., 2021 BASE Show details 5 Lightweight Cross-Lingual Sentence Representation Learning ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chu, Chenhui; Gupta, Prakhar. - : Underline Science Inc., 2021 BASE Show details 6 A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences ... Merritt, Andrew; Chu, Chenhui; Arase, Yuki. - : arXiv, 2020 BASE Show details 7 A Comprehensive Survey of Multilingual Neural Machine Translation ... Dabre, Raj; Chu, Chenhui; Kunchukuttan, Anoop. - : arXiv, 2020 BASE Show details 8 Lexically Cohesive Neural Machine Translation with Copy Mechanism ... Mishra, Vipul; Chu, Chenhui; Arase, Yuki. - : arXiv, 2020 BASE Show details 9 iParaphrasing: Extracting Visually Grounded Paraphrases via an Image ... Chu, Chenhui; Otani, Mayu; Nakashima, Yuta. - : arXiv, 2018 BASE Show details

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