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Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging
Hassan Sajjad
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Fahim Dalvi
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Nadir Durrani
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Ahmed Abdelali
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Yonatan Belinkov
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Stephan Vogel
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation
Fahim Dalvi
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Nadir Durrani
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Hassan Sajjad
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Stephan Vogel
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What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov
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Nadir Durrani
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Fahim Dalvi
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Hassan Sajjad
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James Glass
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Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings
Pamela Shapiro
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Kevin Duh
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How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
Georg Heigold
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Stalin Varanasi
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Günter Neumann
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Josef van Genabith
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https://doi.org/10.18653/v1/P17-2095
https://doi.org/10.18653/v1/P17-2095
https://arxiv.org/abs/1606.02680
https://doi.org/10.3115/974147.974178
http://anthology.aclweb.org/P16-2058
http://www.aclweb.org/anthology/P10-1048
http://dl.acm.org/citation.cfm?id=177910.177914
http://arxiv.org/abs/1511.04586
http://arxiv.org/abs/1609.08144
Field Of Study
Linguistic Trends
Embeddings
Morphology
Task
Morphological Analysis
Tagging
Information Retrieval
Machine Translation
Word Segmentation
Language
English
Hindi
Urdu
Arabic
Hebrew
Semitic
Dataset
News
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