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Titlebook: Machine Translation; 13th China Workshop, Derek F. Wong,Deyi Xiong Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017 Natu

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11#
發(fā)表于 2025-3-23 11:20:29 | 只看該作者
Fuxue Li,Du Quan,Wang Qiang,Xiao Tong,Jingbo Zhurning pages because rotational and related constants, dipole moments, barriers to internal rotation, hyperfine coupling parameters, or Zeeman data were hitherto listed in different tables..The present subvolume II/29B contains data for linear molecules..978-3-540-44926-3Series ISSN 1615-1844 Series E-ISSN 1616-9522
12#
發(fā)表于 2025-3-23 16:13:13 | 只看該作者
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發(fā)表于 2025-3-23 18:33:17 | 只看該作者
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發(fā)表于 2025-3-23 23:45:10 | 只看該作者
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發(fā)表于 2025-3-24 06:21:15 | 只看該作者
Shaotong Li,JinAn Xu,Yujie Zhang,Yufeng Chenhe marginal areas. Cycle and walking paths are experimental cases of linear planning as they have not been influenced or formed by political boundaries and therefore are able to equally involve both the central978-3-031-29282-8978-3-031-29283-5Series ISSN 2191-530X Series E-ISSN 2191-5318
16#
發(fā)表于 2025-3-24 07:56:09 | 只看該作者
Neural Machine Translation with Phrasal Attention,uage at the word level. Unfortunately, alignments between source and target equivalents are complicated, which makes word-level attention not adequate to model these relations (e.g., alignments between a source idiom and its target translation). In order to handle this issue, we propose a phrase-lev
17#
發(fā)表于 2025-3-24 14:46:05 | 只看該作者
Singleton Detection for Coreference Resolution via Multi-window and Multi-filter CNN,re not mentioned in the following texts. Singleton mentions always affect the performance of coreference resolution systems. To remove the singleton ones from the automatically predicted mentions, we propose a novel singleton detection method based on multi-window and multi-filter convolutional neur
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發(fā)表于 2025-3-24 14:54:33 | 只看該作者
19#
發(fā)表于 2025-3-24 21:18:06 | 只看該作者
Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT,n (SMT) across a variety of language pairs. Most existing NMT systems operate with a fixed vocabulary, but translation is an open-vocabulary problem. Hence, previous works mainly handle rare and unknown words by using different translation granularities, such as character, subword, and hybrid word-c
20#
發(fā)表于 2025-3-25 03:03:26 | 只看該作者
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