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    » Using Random Forests in the Structured Language Model
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    ICPR
    2006
    IEEE
    192views computer vision» more  ICPR 2006»
    Detecting Coarticulation in Sign Language using Conditional Random Fields
    14 years 9 months ago
    Detecting Coarticulation in Sign Language using Conditional Random Fields
    Download  marathon.csee.usf.edu
    Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
    Ruiduo Yang, Sudeep Sarkar
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    ACL
    2008
    112views Computational Linguistics» more  ACL 2008»
    Efficient Multi-Pass Decoding for Synchronous Context Free Grammars
    13 years 10 months ago
    Efficient Multi-Pass Decoding for Synchronous Context Free Grammars
    Download  www.cs.rochester.edu
    We take a multi-pass approach to machine translation decoding when using synchronous context-free grammars as the translation model and n-gram language models: the first pass uses...
    Hao Zhang, Daniel Gildea
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    ACL
    2004
    198views Computational Linguistics» more  ACL 2004»
    Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm
    13 years 10 months ago
    Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm
    Download  www.aclweb.org
    This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
    Brian Roark, Murat Saraclar, Michael Collins, Mark...
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    EACL
    2009
    ACL Anthology
    98views Natural Language Processing» more  EACL 2009»
    An Alignment Algorithm Using Belief Propagation and a Structure-Based Distortion Model
    14 years 9 months ago
    An Alignment Algorithm Using Belief Propagation and a Structure-Based Distortion Model
    Download  aclweb.org
    Fabien Cromierès, Sadao Kurohashi
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    AAAI
    2010
    186views Intelligent Agents» more  AAAI 2010»
    Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships
    13 years 8 months ago
    Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships
    Download  wwwkramer.in.tum.de
    Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...
    Fabian Buchwald, Tobias Girschick, Eibe Frank, Ste...
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