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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 – 10 of 10 1 Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation ... Lai, Siyu; Yang, Zhen; Meng, Fandong. - : arXiv, 2022 BASE Show details 2 Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ... Zhang, Songming; Liu, Yijin; Meng, Fandong; Chen, Yufeng; Xu, Jinan; Liu, Jian; Zhou, Jie. - : arXiv, 2022 Abstract: Token-level adaptive training approaches can alleviate the token imbalance problem and thus improve neural machine translation, through re-weighting the losses of different target tokens based on specific statistical metrics (e.g., token frequency or mutual information). Given that standard translation models make predictions on the condition of previous target contexts, we argue that the above statistical metrics ignore target context information and may assign inappropriate weights to target tokens. While one possible solution is to directly take target contexts into these statistical metrics, the target-context-aware statistical computing is extremely expensive, and the corresponding storage overhead is unrealistic. To solve the above issues, we propose a target-context-aware metric, named conditional bilingual mutual information (CBMI), which makes it feasible to supplement target context information for statistical metrics. Particularly, our CBMI can be formalized as the log quotient of the translation ... : Accepted at ACL 2022 as a long paper of main conference. The code is available at: https://github.com/songmzhang/CBMI ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2203.02951 https://dx.doi.org/10.48550/arxiv.2203.02951 BASE Hide details 3 MSCTD: A Multimodal Sentiment Chat Translation Dataset ... Liang, Yunlong; Meng, Fandong; Xu, Jinan. - : arXiv, 2022 BASE Show details 4 ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization ... Wang, Jiaan; Meng, Fandong; Lu, Ziyao. - : arXiv, 2022 BASE Show details 5 EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation ... Xu, Yulin; Yang, Zhen; Meng, Fandong. - : arXiv, 2022 BASE Show details 6 A Survey on Cross-Lingual Summarization ... Wang, Jiaan; Meng, Fandong; Zheng, Duo. - : arXiv, 2022 BASE Show details 7 Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ... Xu, Yangyifan; Liu, Yijin; Meng, Fandong. - : arXiv, 2021 BASE Show details 8 Modeling Bilingual Conversational Characteristics for Neural Chat Translation ... Liang, Yunlong; Meng, Fandong; Chen, Yufeng. - : arXiv, 2021 BASE Show details 9 Sequence-Level Training for Non-Autoregressive Neural Machine Translation ... Shao, Chenze; Feng, Yang; Zhang, Jinchao. - : arXiv, 2021 BASE Show details 10 Competence-based Curriculum Learning for Multilingual Machine Translation ... Zhang, Mingliang; Meng, Fandong; Tong, Yunhai. - : arXiv, 2021 BASE Show details

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