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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 Page: 1 2 3 4 5...613 Hits 1 – 20 of 12.249 1 Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice ... Borg, Markus; Bengtsson, Johan; Österling, Harald. - : arXiv, 2022 BASE Show details 2 Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang ... Keidar, Daphna; Opedal, Andreas; Jin, Zhijing. - : arXiv, 2022 BASE Show details 3 Similarity between person roles in a card sorting experiment ... Maldonado, Mora. - : Open Science Framework, 2022 BASE Show details 4 SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations ... Niu, Changan; Li, Chuanyi; Ng, Vincent. - : arXiv, 2022 BASE Show details 5 Cross-Lingual Phrase Retrieval ... Zheng, Heqi; Zhang, Xiao; Chi, Zewen. - : arXiv, 2022 BASE Show details 6 Ensemble of Opinion Dynamics Models to Understand the Role of the Undecided in the Vaccination Debate ... Lenti, Jacopo; Ruffo, Giancarlo. - : arXiv, 2022 BASE Show details 7 Improve Sentence Alignment by Divide-and-conquer ... Zhang, Wu. - : arXiv, 2022 BASE Show details 8 Graph Neural Networks for Multiparallel Word Alignment ... Imani, Ayyoob; Şenel, Lütfi Kerem; Sabet, Masoud Jalili. - : arXiv, 2022 BASE Show details 9 Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation ... Lai, Siyu; Yang, Zhen; Meng, Fandong. - : arXiv, 2022 BASE Show details 10 Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean ... Paschoal, André F. A.; Pirozelli, Paulo; Freire, Valdinei. - : arXiv, 2022 BASE Show details 11 A comparative study of several parameterizations for speaker recognition ... Faundez-Zanuy, Marcos. - : arXiv, 2022 BASE Show details 12 A Neural Pairwise Ranking Model for Readability Assessment ... Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022 BASE Show details 13 A bilingual approach to specialised adjectives through word embeddings in the karstology domain ... Simeunović, Larisa Grčić; Martinc, Matej; Vintar, Špela. - : arXiv, 2022 BASE Show details 14 Speaker verification in mismatch training and testing conditions ... Faundez-Zanuy, Marcos; Slupinski, Adam. - : arXiv, 2022 BASE Show details 15 Universal Conditional Masked Language Pre-training for Neural Machine Translation ... Li, Pengfei; Li, Liangyou; Zhang, Meng. - : arXiv, 2022 BASE Show details 16 SMDT: Selective Memory-Augmented Neural Document Translation ... Zhang, Xu; Yang, Jian; Huang, Haoyang. - : arXiv, 2022 BASE Show details 17 Learning How to Translate North Korean through South Korean ... Kim, Hwichan; Moon, Sangwhan; Okazaki, Naoaki. - : arXiv, 2022 BASE Show details 18 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 19 Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ... Zhang, Songming; Liu, Yijin; Meng, Fandong. - : arXiv, 2022 BASE Show details 20 Can Synthetic Translations Improve Bitext Quality? ... Briakou, Eleftheria; Carpuat, Marine. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5...613

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