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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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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
Fast Gated Neural Domain Adaptation: Language Model as a Case Study
Jian Zhang
|
Xiaofeng Wu
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Andy Way
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Qun Liu
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Measuring the Effect of Conversational Aspects on Machine Translation Quality
Marlies van der Wees
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Arianna Bisazza
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Christof Monz
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Learning to Translate for Multilingual Question Answering
Ferhan Ture
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Elizabeth Boschee
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Enhancing Cross-border EU E-commerce through Machine Translation: Needed Language Resources, Challenges and Opportunities
Meritxell Fernández Barrera
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Vladimir Popescu
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Antonio Toral
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Federico Gaspari
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Khalid Choukri
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Evaluation of Machine Translation Performance Across Multiple Genres and Languages
Marlies van der Wees
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Arianna Bisazza
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Christof Monz
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Situation entity types: automatic classification of clause-level aspect
Annemarie Friedrich
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Alexis Palmer
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Manfred Pinkal
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Adapting to All Domains at Once: Rewarding Domain Invariance in SMT
Hoang Cuong
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Khalil Sima’an
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Ivan Titov
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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
|
Five Shades of Noise: Analyzing Machine Translation Errors in User-Generated Text
Marlies van der Wees
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Arianna Bisazza
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Christof Monz
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Improving Domain Independent Question Parsing with Synthetic Treebanks
Halim-Antoine Boukaram
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Nizar Habash
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Micheline Ziadee
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Majd Sakr
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http://ilps.science.uva.nl/resources/
Field Of Study
Linguistic Trends
Morphology
Task
Machine Translation
Language
English
Arabic
Dataset
News
Chat
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