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    » Large Language Models in Machine Translation
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    EMNLP
    2009
    119views Natural Language Processing» more  EMNLP 2009»
    Effective Use of Linguistic and Contextual Information for Statistical Machine Translation
    14 years 9 months ago
    Effective Use of Linguistic and Contextual Information for Statistical Machine Translation
    Download  www.aclweb.org
    Current methods of using lexical features in machine translation have difficulty in scaling up to realistic MT tasks due to a prohibitively large number of parameters involved. In...
    Libin Shen, Jinxi Xu, Bing Zhang, Spyros Matsoukas...
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    INTERSPEECH
    2010
    118views Signal Processing» more  INTERSPEECH 2010»
    Combining many alignments for speech to speech translation
    14 years 6 months ago
    Combining many alignments for speech to speech translation
    Download  www1.cs.columbia.edu
    Alignment combination (symmetrization) has been shown to be useful for improving Machine Translation (MT) models. Most existing alignment combination techniques are based on heuri...
    Sameer Maskey, Steven J. Rennie, Bowen Zhou
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    ACL
    2009
    86views Computational Linguistics» more  ACL 2009»
    A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
    14 years 9 months ago
    A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
    Download  www.aclweb.org
    The tree sequence based translation model allows the violation of syntactic boundaries in a rule to capture non-syntactic phrases, where a tree sequence is a contiguous sequence o...
    Jun Sun, Min Zhang, Chew Lim Tan
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    NAACL
    2007
    103views Computational Linguistics» more  NAACL 2007»
    Detection of Non-Native Sentences Using Machine-Translated Training Data
    15 years 1 months ago
    Detection of Non-Native Sentences Using Machine-Translated Training Data
    Download  www.aclweb.org
    Training statistical models to detect nonnative sentences requires a large corpus of non-native writing samples, which is often not readily available. This paper examines the exte...
    John Lee, Ming Zhou, Xiaohua Liu
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    ACL
    2009
    134views Computational Linguistics» more  ACL 2009»
    Quadratic-Time Dependency Parsing for Machine Translation
    14 years 9 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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