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    NAACL
    1994
    87views Computational Linguistics» more  NAACL 1994»
    On Using Written Language Training Data for Spoken Language Modeling
    13 years 9 months ago
    On Using Written Language Training Data for Spoken Language Modeling
    Download  acl.ldc.upenn.edu
    We attemped to improve recognition accuracy by reducing the inadequacies of the lexicon and language model. Specifically we address the following three problems: (1) the best size...
    Richard M. Schwartz, Long Nguyen, Francis Kubala, ...
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    IGPL
    2011
    230views Information Technology» more  IGPL 2011»
    J-MADeM, a market-based model for complex decision problems
    13 years 2 months ago
    J-MADeM, a market-based model for complex decision problems
    Download  www.uv.es
    This paper presents J-MADeM, a multi-modal decision making mechanism to provide agents in a Multi-Agent Systems (MAS) with a market-based model for complex decision problems. J-MA...
    Francisco Grimaldo, Miguel Lozano, Fernando Barber
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    CLEF
    2004
    Springer
    143views Information Technology» more  CLEF 2004»
    UB at CLEF2004: Cross Language Information Retrieval Using Statistical Language Models
    13 years 11 months ago
    UB at CLEF2004: Cross Language Information Retrieval Using Statistical Language Models
    Download  courses.unt.edu
    This paper presents the results of the State University of New York at Buffalo (UB) in the Mono-lingual and Multi-lingual tasks at CLEF 2004. For these tasks we used an approach ba...
    Miguel E. Ruiz, Munirathnam Srikanth
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    ACL
    2012
    181views Computational Linguistics» more  ACL 2012»
    Deciphering Foreign Language by Combining Language Models and Context Vectors
    11 years 10 months ago
    Deciphering Foreign Language by Combining Language Models and Context Vectors
    Download  www-i6.informatik.rwth-aachen.de
    In this paper we show how to train statistical machine translation systems on reallife tasks using only non-parallel monolingual data from two languages. We present a modificatio...
    Malte Nuhn, Arne Mauser, Hermann Ney
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    ACL
    2001
    188views Computational Linguistics» more  ACL 2001»
    Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters
    13 years 9 months ago
    Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters
    Download  acl.ldc.upenn.edu
    In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
    Hirofumi Yamamoto, Shuntaro Isogai, Yoshinori Sagi...
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