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1
Emerging Dimension Weights in a Conceptual Spaces Model of Concept Combination ...
Lewis, Martha; Lawry, Jonathan. - : arXiv, 2016
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2
Syntactic Structures and Code Parameters ...
Shu, Kevin; Marcolli, Matilde. - : arXiv, 2016
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3
Part-of-Speech Tagging for Historical English ...
Yang, Yi; Eisenstein, Jacob. - : arXiv, 2016
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4
Resolving Out-of-Vocabulary Words with Bilingual Embeddings in Machine Translation ...
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5
Connecting Phrase based Statistical Machine Translation Adaptation ...
Wang, Rui; Zhao, Hai; Lu, Bao-Liang. - : arXiv, 2016
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6
Dual Learning for Machine Translation ...
Xia, Yingce; He, Di; Qin, Tao. - : arXiv, 2016
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7
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings ...
Zhang, Biao; Xiong, Deyi; Su, Jinsong. - : arXiv, 2016
Abstract: In this paper, we propose a bidimensional attention based recursive autoencoder (BattRAE) to integrate clues and sourcetarget interactions at multiple levels of granularity into bilingual phrase representations. We employ recursive autoencoders to generate tree structures of phrases with embeddings at different levels of granularity (e.g., words, sub-phrases and phrases). Over these embeddings on the source and target side, we introduce a bidimensional attention network to learn their interactions encoded in a bidimensional attention matrix, from which we extract two soft attention weight distributions simultaneously. These weight distributions enable BattRAE to generate compositive phrase representations via convolution. Based on the learned phrase representations, we further use a bilinear neural model, trained via a max-margin method, to measure bilingual semantic similarity. To evaluate the effectiveness of BattRAE, we incorporate this semantic similarity as an additional feature into a state-of-the-art ... : 7 pages, accepted by AAAI 2017 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1605.07874
https://dx.doi.org/10.48550/arxiv.1605.07874
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8
Vocabulary Manipulation for Neural Machine Translation ...
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9
A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments ...
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10
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders ...
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11
Automatic Construction of Discourse Corpora for Dialogue Translation ...
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12
Scalable Machine Translation in Memory Constrained Environments ...
Baltescu, Paul. - : arXiv, 2016
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13
Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing ...
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14
Neural Name Translation Improves Neural Machine Translation ...
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15
One Sentence One Model for Neural Machine Translation ...
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16
Machine Learning Techniques with Ontology for Subjective Answer Evaluation ...
Devi, M. Syamala; Mittal, Himani. - : arXiv, 2016
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17
Prepositional Attachment Disambiguation Using Bilingual Parsing and Alignments ...
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18
Language classification from bilingual word embedding graphs ...
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19
MetaDIG : Engaging Scientists in the Improvement of Metadata and Data ...
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20
MetaDIG : Engaging Scientists in the Improvement of Metadata and Data ...
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