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Paraphrase Lattice for Statistical Machine Translation
Takashi Onishi
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Masao Utiyama
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Eiichiro Sumita
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
ACL |
Citations
URL
Confusion Network for Arabic Name Disambiguation and Transliteration in Statistical Machine Translation
Young-Suk Lee
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Example-Based Paraphrasing for Improved Phrase-Based Statistical Machine Translation
Aurélien Max
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Improving Statistical Machine Translation with a Multilingual Paraphrase Database
Ramtin Mehdizadeh Seraj
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Maryam Siahbani
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Anoop Sarkar
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Power-Law Distributions for Paraphrases Extracted from Bilingual Corpora
Spyros Martzoukos
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Christof Monz
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Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation
Yulia Tsvetkov
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Florian Metze
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Chris Dyer
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Improve SMT Quality with Automatically Extracted Paraphrase Rules
Wei He
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Hua Wu
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Haifeng Wang
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Ting Liu
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Incorporating Source-Language Paraphrases into Phrase-Based SMT with Confusion Networks
Jie Jiang
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Jinhua Du
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Andy Way
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Web-based Validation for Contextual Targeted Paraphrasing
Houda Bouamor
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Aurélien Max
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Gabriel Illouz
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Anne Vilnat
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Filtering Antonymous, Trend-Contrasting, and Polarity-Dissimilar Distributional Paraphrases for Improving Statistical Machine Translation
Yuval Marton
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Ahmed El Kholy
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Nizar Habash
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Phrase Model Training for Statistical Machine Translation with Word Lattices of Preprocessing Alternatives
Joern Wuebker
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Hermann Ney
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http://www.statmt.org/wmt08/
Field Of Study
Task
Paraphrasing
Word Segmentation
Language
Chinese
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