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Dynamic Topic Adaptation for Phrase-based MT
Eva Hasler
|
Phil Blunsom
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Philipp Koehn
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Barry Haddow
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Paper Details:
Month: April
Year: 2014
Location: Gothenburg, Sweden
Venue:
EACL |
Citations
URL
A Deep Fusion Model for Domain Adaptation in Phrase-based MT
Nadir Durrani
|
Hassan Sajjad
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Shafiq Joty
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Ahmed Abdelali
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Modeling Term Translation for Document-informed Machine Translation
Fandong Meng
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Deyi Xiong
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Wenbin Jiang
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Qun Liu
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Latent Domain Phrase-based Models for Adaptation
Hoang Cuong
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Khalil Sima’an
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How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models
Shafiq Joty
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Hassan Sajjad
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Nadir Durrani
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Kamla Al-Mannai
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Ahmed Abdelali
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Stephan Vogel
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Latent Domain Word Alignment for Heterogeneous Corpora
Hoang Cuong
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Khalil Sima’an
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A Context-Aware Topic Model for Statistical Machine Translation
Jinsong Su
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Deyi Xiong
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Yang Liu
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Xianpei Han
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Hongyu Lin
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Junfeng Yao
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Min Zhang
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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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Context-Aware Neural Machine Translation Learns Anaphora Resolution
Elena Voita
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Pavel Serdyukov
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Rico Sennrich
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Ivan Titov
|
Adapting to All Domains at Once: Rewarding Domain Invariance in SMT
Hoang Cuong
|
Khalil Sima’an
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Ivan Titov
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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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No URLs Found
Field Of Study
Task
Machine Translation
Approach
Generative Model
Language
Multilingual
English
French
Dataset
News
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