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    » Fast Decoding and Optimal Decoding for Machine Translation
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    TASLP
    2010
    169views more  TASLP 2010»
    Integration of Statistical Models for Dictation of Document Translations in a Machine-Aided Human Translation Task
    13 years 2 months ago
    Integration of Statistical Models for Dictation of Document Translations in a Machine-Aided Human Translation Task
    Download  www.ece.mcgill.ca
    Abstract--This paper presents a model for machine aided human translation (MAHT) that integrates source language text and target language acoustic information to produce the text t...
    Aarthi Reddy, Richard C. Rose
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    ACL
    2006
    139views Computational Linguistics» more  ACL 2006»
    Statistical Phrase-Based Models for Interactive Computer-Assisted Translation
    13 years 8 months ago
    Statistical Phrase-Based Models for Interactive Computer-Assisted Translation
    Download  www.mt-archive.info
    Obtaining high-quality machine translations is still a long way off. A postediting phase is required to improve the output of a machine translation system. An alternative is the s...
    Jesús Tomás, Francisco Casacuberta
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    ACL
    2009
    134views Computational Linguistics» more  ACL 2009»
    Quadratic-Time Dependency Parsing for Machine Translation
    13 years 5 months ago
    Quadratic-Time Dependency Parsing for Machine Translation
    Download  nlp.stanford.edu
    Efficiency is a prime concern in syntactic MT decoding, yet significant developments in statistical parsing with respect to asymptotic efficiency haven't yet been explored in...
    Michel Galley, Christopher D. Manning
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    COLING
    2008
    117views Computational Linguistics» more  COLING 2008»
    Improving Statistical Machine Translation using Lexicalized Rule Selection
    13 years 8 months ago
    Improving Statistical Machine Translation using Lexicalized Rule Selection
    Download  mtgroup.ict.ac.cn
    This paper proposes a novel lexicalized approach for rule selection for syntax-based statistical machine translation (SMT). We build maximum entropy (MaxEnt) models which combine ...
    Zhongjun He, Qun Liu, Shouxun Lin
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    COLING
    2008
    134views Computational Linguistics» more  COLING 2008»
    Improving Alignments for Better Confusion Networks for Combining Machine Translation Systems
    13 years 8 months ago
    Improving Alignments for Better Confusion Networks for Combining Machine Translation Systems
    Download  www.speech.sri.com
    The state-of-the-art system combination method for machine translation (MT) is the word-based combination using confusion networks. One of the crucial steps in confusion network d...
    Necip Fazil Ayan, Jing Zheng, Wen Wang
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