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    ICASSP
    2009
    IEEE
    496views Signal Processing» more  ICASSP 2009»
    Neural network based language models for highly inflective languages
    14 years 10 days ago
    Neural network based language models for highly inflective languages
    Download  www.fit.vutbr.cz
    Speech recognition of inflectional and morphologically rich languages like Czech is currently quite a challenging task, because simple n-gram techniques are unable to capture impo...
    Tomas Mikolov, Jirí Kopecký, Lukas B...
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    ESANN
    2008
    118views Neural Networks» more  ESANN 2008»
    Word recognition and incremental learning based on neural associative memories and hidden Markov models
    13 years 10 months ago
    Word recognition and incremental learning based on neural associative memories and hidden Markov models
    Download  www.dice.ucl.ac.be
    Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
    Zöhre Kara Kayikci, Günther Palm
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    ACL
    2008
    154views Computational Linguistics» more  ACL 2008»
    Soft Syntactic Constraints for Hierarchical Phrased-Based Translation
    13 years 10 months ago
    Soft Syntactic Constraints for Hierarchical Phrased-Based Translation
    Download  www.aclweb.org
    In adding syntax to statistical MT, there is a tradeoff between taking advantage of linguistic analysis, versus allowing the model to exploit linguistically unmotivated mappings l...
    Yuval Marton, Philip Resnik
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    EMNLP
    2009
    143views Natural Language Processing» more  EMNLP 2009»
    Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
    13 years 6 months ago
    Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
    Download  aclweb.org
    In this work, we propose two extensions of standard word lexicons in statistical machine translation: A discriminative word lexicon that uses sentence-level source information to ...
    Arne Mauser, Sasa Hasan, Hermann Ney
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    HAPTICS
    2002
    IEEE
    164views Human Computer Interaction» more  HAPTICS 2002»
    Building a Task Language for Segmentation and Recognition of User Input to Cooperative Manipulation Systems
    14 years 1 months ago
    Building a Task Language for Segmentation and Recognition of User Input to Cooperative Manipulation Systems
    Download  www.cs.jhu.edu
    We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
    C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
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