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Incremental Topic-Based Translation Model Adaptation for Conversational Spoken Language Translation
Sanjika Hewavitharana
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Dennis Mehay
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Sankaranarayanan Ananthakrishnan
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Prem Natarajan
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Paper Details:
Month: August
Year: 2013
Location: Sofia, Bulgaria
Venue:
ACL |
Citations
URL
Confusion Network for Arabic Name Disambiguation and Transliteration in Statistical Machine Translation
Young-Suk Lee
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What’s in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation
Marlies van der Wees
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Arianna Bisazza
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Wouter Weerkamp
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Christof Monz
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Dynamic Topic Adaptation for SMT using Distributional Profiles
Eva Hasler
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Barry Haddow
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Philipp Koehn
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Translation Model Adaptation Using Genre-Revealing Text Features
Marlies van der Wees
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Arianna Bisazza
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Christof Monz
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Novel Document Level Features for Statistical Machine Translation
Rong Zhang
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Abraham Ittycheriah
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Cost Weighting for Neural Machine Translation Domain Adaptation
Boxing Chen
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Colin Cherry
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George Foster
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Samuel Larkin
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Document-Level Information as Side Constraints for Improved Neural Patent Translation
Laura Jehl
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Stefan Riezler
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http://mallet.cs.umass.edu
Field Of Study
Task
Machine Translation
ASR
Approach
Topic Modeling
Language
English
Spanish
Dataset
Spoken Dialog
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