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    » Smoothing a Tera-word Language Model
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    EMNLP
    2007
    110views Natural Language Processing» more  EMNLP 2007»
    Smoothed Bloom Filter Language Models: Tera-Scale LMs on the Cheap
    13 years 7 months ago
    Smoothed Bloom Filter Language Models: Tera-Scale LMs on the Cheap
    Download  acl.ldc.upenn.edu
    David Talbot, Miles Osborne
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    ACL
    1996
    93views Computational Linguistics» more  ACL 1996»
    An Empirical Study of Smoothing Techniques for Language Modeling
    13 years 7 months ago
    An Empirical Study of Smoothing Techniques for Language Modeling
    Download  research.microsoft.com
    Stanley F. Chen, Joshua Goodman
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    EMNLP
    2009
    96views Natural Language Processing» more  EMNLP 2009»
    Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models
    13 years 4 months ago
    Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models
    Download  www.aclweb.org
    The recent availability of large corpora for training N-gram language models has shown the utility of models of higher order than just trigrams. In this paper, we investigate meth...
    Robert C. Moore, Chris Quirk
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    SIGIR
    2002
    ACM
    111views Information Technology» more  SIGIR 2002»
    Two-stage language models for information retrieval
    13 years 5 months ago
    Two-stage language models for information retrieval
    Download  sifaka.cs.uiuc.edu
    The optimal settings of retrieval parameters often depend on both the document collection and the query, and are usually found through empirical tuning. In this paper, we propose ...
    ChengXiang Zhai, John D. Lafferty
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    EMNLP
    2007
    158views Natural Language Processing» more  EMNLP 2007»
    Large Language Models in Machine Translation
    13 years 7 months ago
    Large Language Models in Machine Translation
    Download  acl.ldc.upenn.edu
    This paper reports on the benefits of largescale statistical language modeling in machine translation. A distributed infrastructure is proposed which we use to train on up to 2 t...
    Thorsten Brants, Ashok C. Popat, Peng Xu, Franz Jo...
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