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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. - : arXiv, 2022 BASE Show 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 Abstract: Lexically cohesive translations preserve consistency in word choices in document-level translation. We employ a copy mechanism into a context-aware neural machine translation model to allow copying words from previous translation outputs. Different from previous context-aware neural machine translation models that handle all the discourse phenomena implicitly, our model explicitly addresses the lexical cohesion problem by boosting the probabilities to output words consistently. We conduct experiments on Japanese to English translation using an evaluation dataset for discourse translation. The results showed that the proposed model significantly improved lexical cohesion compared to previous context-aware models. ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2010.05193 https://arxiv.org/abs/2010.05193 BASE Hide 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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