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Multi-Engine Machine Translation with Voted Language Model
Tadashi Nomoto
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Paper Details:
Month: July
Year: 2004
Location: Barcelona, Spain
Venue:
ACL |
Citations
URL
Improving Alignments for Better Confusion Networks for Combining Machine Translation Systems
Necip Fazil Ayan
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Jing Zheng
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Wen Wang
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Choosing the Right Translation: A Syntactically Informed Classification Approach
Simon Zwarts
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Mark Dras
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Hierarchical System Combination for Machine Translation
Fei Huang
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Kishore Papineni
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Using RBMT Systems to Produce Bilingual Corpus for SMT
Xiaoguang Hu
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Haifeng Wang
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Hua Wu
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An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
Wolfgang Macherey
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Franz J. Och
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Computing Consensus Translation for Multiple Machine Translation Systems Using Enhanced Hypothesis Alignment
Evgeny Matusov
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Nicola Ueffing
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Hermann Ney
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Combination of Arabic Preprocessing Schemes for Statistical Machine Translation
Fatiha Sadat
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Nizar Habash
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Machine Translation System Combination by Confusion Forest
Taro Watanabe
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Eiichiro Sumita
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First Steps towards Multi-Engine Machine Translation
Andreas Eisele
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Multi-Engine Machine Translation with an Open-Source SMT Decoder
Yu Chen
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Andreas Eisele
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Christian Federmann
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Eva Hasler
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Michael Jellinghaus
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Silke Theison
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Positive Diversity Tuning for Machine Translation System Combination
Daniel Cer
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Christopher D. Manning
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Dan Jurafsky
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http://julius.sourceforge.jp
Field Of Study
Task
Information Retrieval
Machine Translation
ASR
Language
English
Japanese
Dataset
News
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