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    ACL
    2012
    194views Computational Linguistics» more  ACL 2012»
    Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
    13 years 4 hour ago
    Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
    Download  www-i6.informatik.rwth-aachen.de
    In this work we present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased efficiency of ...
    Joern Wuebker, Hermann Ney, Richard Zens
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    CICLING
    2008
    Springer
    300views Natural Language Processing» more  CICLING 2008»
    Comparison of Different Modeling Units for Language Model Adaptation for Inflected Languages
    14 years 10 months ago
    Comparison of Different Modeling Units for Language Model Adaptation for Inflected Languages
    Download  www.phon.ioc.ee
    Tanel Alumäe
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    MODELS
    2009
    Springer
    157views Natural Language Processing» more  MODELS 2009»
    Models. Models. Models. So What?
    15 years 4 months ago
    Models. Models. Models. So What?
    Download  www.cs.colostate.edu
    Stephen J. Mellor
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    ACL
    2012
    155views Computational Linguistics» more  ACL 2012»
    Exploiting Social Information in Grounded Language Learning via Grammatical Reduction
    13 years 4 hour ago
    Exploiting Social Information in Grounded Language Learning via Grammatical Reduction
    Download  aclweb.org
    This paper uses an unsupervised model of grounded language acquisition to study the role that social cues play in language acquisition. The input to the model consists of (orthogr...
    Mark Johnson, Katherine Demuth, Michael C. Frank
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    ICA
    2012
    Springer
    236views Signal Processing» more  ICA 2012»
    A Non-negative Approach to Language Informed Speech Separation
    13 years 5 months ago
    A Non-negative Approach to Language Informed Speech Separation
    Download  www.cs.illinois.edu
    Abstract. The use of high level information in source separation algorithms can greatly constrain the problem and lead to improved results by limiting the solution space to semanti...
    Gautham J. Mysore, Paris Smaragdis
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