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1
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ...
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2
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ...
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3
Anatomical Study on the Safety of Anterior Cervical Craniovertebral Fusion with Clival Screw Placement in Children Aged 1–6 Years
In: Int J Gen Med (2021)
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4
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation ...
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5
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models ...
He, Shilin; Wang, Xing; Shi, Shuming. - : arXiv, 2020
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6
Information Aggregation for Multi-Head Attention with Routing-by-Agreement ...
Li, Jian; Yang, Baosong; Dou, Zi-Yi. - : arXiv, 2019
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7
Neuron Interaction Based Representation Composition for Neural Machine Translation ...
Li, Jian; Wang, Xing; Yang, Baosong. - : arXiv, 2019
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8
Multi-Granularity Self-Attention for Neural Machine Translation ...
Hao, Jie; Wang, Xing; Shi, Shuming. - : arXiv, 2019
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9
Towards Understanding Neural Machine Translation with Word Importance ...
He, Shilin; Tu, Zhaopeng; Wang, Xing. - : arXiv, 2019
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10
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons ...
Hao, Jie; Wang, Xing; Shi, Shuming. - : arXiv, 2019
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11
Exploiting Deep Representations for Neural Machine Translation ...
Abstract: Advanced neural machine translation (NMT) models generally implement encoder and decoder as multiple layers, which allows systems to model complex functions and capture complicated linguistic structures. However, only the top layers of encoder and decoder are leveraged in the subsequent process, which misses the opportunity to exploit the useful information embedded in other layers. In this work, we propose to simultaneously expose all of these signals with layer aggregation and multi-layer attention mechanisms. In addition, we introduce an auxiliary regularization term to encourage different layers to capture diverse information. Experimental results on widely-used WMT14 English-German and WMT17 Chinese-English translation data demonstrate the effectiveness and universality of the proposed approach. ... : EMNLP 2018 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1810.10181
https://arxiv.org/abs/1810.10181
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12
Temporal Coding of Voice Pitch Contours in Mandarin Tones
Peng, Fei; Innes-Brown, Hamish; McKay, Colette M.. - : Frontiers Media S.A., 2018
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13
Hardware string matching engine for large and dynamic pattern set ; Da xing dong tai zi fu chuan ji de ying jian pi pei ji ; 大型動態字符串集的硬件匹配機
Wang, Xing (王興). - : City University of Hong Kong, 2014
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14
Multi-Stride String Searching for High-Speed Content Inspection
Pao, Derek; Wang, Xing. - : Oxford University Press, 2012
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15
Multi-String Searching for High-Speed Content Inspection
Pao, Derek; Wang, Xing. - : Oxford University Press, 2012
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16
Multi-Stride String Searching for High-Speed Content Inspection
Pao, Derek; Wang, Xing. - : Oxford University Press, 2012
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