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    NAACL
    1994
    107views Computational Linguistics» more  NAACL 1994»
    Language Modeling with Sentence-Level Mixtures
    14 years 11 months ago
    Language Modeling with Sentence-Level Mixtures
    Download  acl.ldc.upenn.edu
    Thispaperintroduces a simple mixtare languagemodelthat attempts to capture long distance conslraints in a sentence orparagraph. The model is an m-component mixture of Irigram mode...
    Rukmini Iyer, Mari Ostendorf, Jan Robin Rohlicek
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    NAACL
    1994
    99views Computational Linguistics» more  NAACL 1994»
    1993 Benchmark Tests for the ARPA Spoken Language Program
    14 years 11 months ago
    1993 Benchmark Tests for the ARPA Spoken Language Program
    Download  acl.ldc.upenn.edu
    This paper reports results obtained in benchmark tests conducted within the ARPA Spoken Language program in November and December of 1993. In addition to ARPA contractors, partici...
    David S. Pallett, Jonathan G. Fiscus, William M. F...
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    NAACL
    1994
    78views Computational Linguistics» more  NAACL 1994»
    Use of Lexical and Syntactic Techniques in Recognizing Handwritten Text
    14 years 11 months ago
    Use of Lexical and Syntactic Techniques in Recognizing Handwritten Text
    Download  www.cedar.buffalo.edu
    The output of handwritten word recognizers (WR) tends to be very noisy due to various factors. In order to compensate for this behaviour, several choices of the WR must be initial...
    Rohini K. Srihari
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    NAACL
    1994
    114views Computational Linguistics» more  NAACL 1994»
    High-Accuracy Large-Vocabulary Speech Recognition Using Mixture Tying and Consistency Modeling
    14 years 11 months ago
    High-Accuracy Large-Vocabulary Speech Recognition Using Mixture Tying and Consistency Modeling
    Download  acl.ldc.upenn.edu
    Improved acoustic modeling can significantly decrease the error rate in large-vocabulary speech recognition. Our approach to the problem is twofold. We first propose a scheme that...
    Vassilios Digalakis, Hy Murveit
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    NAACL
    1994
    113views Computational Linguistics» more  NAACL 1994»
    Toward Multi-Engine Machine Translation
    14 years 11 months ago
    Toward Multi-Engine Machine Translation
    Download  acl.ldc.upenn.edu
    Current MT systems, whatever translation method they at present employ, do not reach an optimum output on free text. Our hypothesis for the experiment reported in this paper is th...
    Sergei Nirenburg, Robert E. Frederking
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