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  1. Bayesian natural language semantics and pragmatics
    Contributor: Zeevat, Henk (Herausgeber); Schmitz, Hans-Christian (Herausgeber)
    Published: 2015
    Publisher:  Springer, Cham

    The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics. This is the first volume to take up topics in... more

    Location:
    Universitätsbibliothek Bielefeld
    Signature:
    NA186.50 B2N2L
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

     

    The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics. This is the first volume to take up topics in Bayesian Natural Language Interpretation and make proposals based on information theory, probability theory, and related fields. The methodologies offered here extend to the target semantic and pragmatic analyses of computational natural language interpretation. Bayesian approaches to natural language semantics and pragmatics are based on methods from signal processing and the causal Bayesian models pioneered by especially Pearl. In signal processing, the Bayesian method finds the most probable interpretation by finding the one that maximizes the product of the prior probability and the likelihood of the interpretation. It thus stresses the importance of a production model for interpretation as in Grice’s contributions to pragmatics or in interpretation by abduction.

     
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  2. Bayesian natural language semantics and pragmatics
    Contributor: Zeevat, Henk (Herausgeber); Schmitz, Hans-Christian (Herausgeber)
    Published: 2015
    Publisher:  Springer, Cham

    The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics. This is the first volume to take up topics in... more

    Location:
    Universitätsbibliothek Bielefeld
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

     

    The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics. This is the first volume to take up topics in Bayesian Natural Language Interpretation and make proposals based on information theory, probability theory, and related fields. The methodologies offered here extend to the target semantic and pragmatic analyses of computational natural language interpretation. Bayesian approaches to natural language semantics and pragmatics are based on methods from signal processing and the causal Bayesian models pioneered by especially Pearl. In signal processing, the Bayesian method finds the most probable interpretation by finding the one that maximizes the product of the prior probability and the likelihood of the interpretation. It thus stresses the importance of a production model for interpretation as in Grice’s contributions to pragmatics or in interpretation by abduction

     
    Export to reference management software   RIS file
      BibTeX file
  3. Using comparable corpora for under-resourced areas of machine translation
    Contributor: Skadiņa, Inguna (Herausgeber); Gaizauskas, Robert (Herausgeber); Babych, Bogdan (Herausgeber); Ljubešić, Nikola (Herausgeber); Tufiş, Dan (Herausgeber); Vasiļjevs, Andrejs (Herausgeber)
    Published: 2019
    Publisher:  Springer, Cham

    This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for... more

    Location:
    Universitätsbibliothek Bielefeld
    Signature:
    NA187.50 U8C7C
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

     

    This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for building comparable corpora from the Web, evaluating comparability and extracting parallel data that can be used for the machine translation task. It is divided into several sections, each covering a specific task such as building, processing, and using comparable corpora, focusing particularly on under-resourced language pairs and domains.The book is intended for anyone interested in data-driven machine translation for under-resourced languages and domains, especially for developers of machine translation systems, computational linguists and language workers. It offers a valuable resource for specialists and students in natural language processing, machine translation, corpus linguistics and computer-assisted translation, and promotes the broader use of comparable corpora in natural language processing and computational linguistics.

     
    Export to reference management software   RIS file
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  4. Using comparable corpora for under-resourced areas of machine translation
    Contributor: Skadiņa, Inguna (Herausgeber); Gaizauskas, Robert (Herausgeber); Babych, Bogdan (Herausgeber); Ljubešić, Nikola (Herausgeber); Tufiş, Dan (Herausgeber); Vasiļjevs, Andrejs (Herausgeber)
    Published: 2019
    Publisher:  Springer, Cham

    This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for... more

    Location:
    Universitätsbibliothek Bielefeld
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

     

    This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for building comparable corpora from the Web, evaluating comparability and extracting parallel data that can be used for the machine translation task. It is divided into several sections, each covering a specific task such as building, processing, and using comparable corpora, focusing particularly on under-resourced language pairs and domains.The book is intended for anyone interested in data-driven machine translation for under-resourced languages and domains, especially for developers of machine translation systems, computational linguists and language workers. It offers a valuable resource for specialists and students in natural language processing, machine translation, corpus linguistics and computer-assisted translation, and promotes the broader use of comparable corpora in natural language processing and computational linguistics

     
    Export to reference management software   RIS file
      BibTeX file