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  1. Statistical machine translation
    Autor*in: Koehn, Philipp
    Erschienen: 2010
    Verlag:  Cambridge University Press, Cambridge

    The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful... mehr

    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Unter den Linden
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Brandenburgische Technische Universität Cottbus - Senftenberg, Universitätsbibliothek
    uneingeschränkte Fernleihe, Kopie und Ausleihe

     

    The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation

     

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    Quelle: Staatsbibliothek zu Berlin
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9780511815829
    Weitere Identifier:
    Schlagworte: Datenverarbeitung; Machine translating; Translating and interpreting / Data processing; Maschinelle Übersetzung; Sprachstatistik
    Umfang: 1 online resource (xii, 433 pages)
  2. Statistical machine translation
    Autor*in: Koehn, Philipp
    Erschienen: 2012
    Verlag:  Cambridge Univ. Press, Cambridge

    Universität Frankfurt, Elektronische Ressourcen
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    Universitätsbibliothek Kassel, Landesbibliothek und Murhardsche Bibliothek der Stadt Kassel
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9780511815829; 9780511815829 (Sekundärausgabe)
    Weitere Identifier:
    RVK Klassifikation: ES 960 ; ST 306
    Schlagworte: Maschinelle Übersetzung; Sprachstatistik
    Umfang: XII, 433 S., Ill., graph. Darst.
    Bemerkung(en):

    Literaturverz. S. 371 - 415

    Online-Ausg.:

  3. Statistical machine translation
    Autor*in: Koehn, Philipp
    Erschienen: 2010
    Verlag:  Cambridge University Press, Cambridge

    The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful... mehr

    Bayerische Staatsbibliothek
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    Universitätsbibliothek der LMU München
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Technische Hochschule Nürnberg Georg Simon Ohm, Bibliothek
    keine Ausleihe von Bänden, nur Papierkopien werden versandt
    Universitätsbibliothek Passau
    uneingeschränkte Fernleihe, Kopie und Ausleihe

     

    The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Volltext (URL des Erstveröffentlichers)
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9780511815829
    Weitere Identifier:
    RVK Klassifikation: ES 960 ; ST 306
    Schlagworte: Datenverarbeitung; Machine translating; Translating and interpreting / Data processing; Maschinelle Übersetzung; Sprachstatistik
    Umfang: 1 online resource (xii, 433 pages)
  4. Statistical machine translation
    Autor*in: Koehn, Philipp
    Erschienen: ©2010
    Verlag:  Cambridge University Press, Cambridge

    "The field of machine translation has recently been energized by the emergence of statistical techniques, which have brought the dream of automatic language translation closer to reality. This class-tested textbook, authored by an active researcher... mehr

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    Hochschule Esslingen, Bibliothek
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    Saarländische Universitäts- und Landesbibliothek
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    Universitätsbibliothek der Eberhard Karls Universität
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    "The field of machine translation has recently been energized by the emergence of statistical techniques, which have brought the dream of automatic language translation closer to reality. This class-tested textbook, authored by an active researcher in the field, provides a gentle and accessible introduction to the latest methods and enables the reader to build machine translation systems for any language pair." "It provides the necessary grounding in linguistics and probabilities, and covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training, and advanced methods to integrate linguistic annotation. The book reports on the latest research and outstanding challenges, and enables novices as well as experienced researchers to make contributions to the field. It is ideal for students at undergraduate and graduate level, or for any reader interested in the latest developments in machine translation."--Jacket Cover -- Half-title -- Title -- Copyright -- Dedication -- Contents -- Preface -- Part I Foundations -- Chapter 1 Introduction -- 1.1 Overview -- 1.2 History of Machine Translation -- 1.3 Applications -- 1.4 Available Resources -- 1.5 Summary -- Chapter 2 Words, Sentences, Corpora -- 2.1 Words -- 2.2 Sentences -- 2.3 Corpora -- 2.4 Summary -- Chapter 3 Probability Theory -- 3.1 Estimating Probability Distributions -- 3.2 Calculating Probability Distributions -- 3.3 Properties of Probability Distributions -- 3.4 Summary -- Part II Core Methods -- Chapter 4 Word-Based Models -- 4.1 Machine Translation by Translating Words -- 4.2 Learning Lexical Translation Models -- 4.3 Ensuring Fluent Output -- 4.4 Higher IBM Models -- 4.5 Word Alignment -- 4.6 Summary -- Chapter 5 Phrase-Based Models -- 5.1 Standard Model -- 5.2 Learning a Phrase Translation Table -- 5.3 Extensions to the Translation Model -- 5.4 Extensions to the Reordering Model -- 5.5 EM Training of Phrase-Based Models -- 5.6 Summary -- Chapter 6 Decoding -- 6.1 Translation Process -- 6.2 Beam Search -- 6.3 Future Cost Estimation -- 6.4 Other Decoding Algorithms -- 6.5 Summary -- Chapter 7 Language Models -- 7.1 N-Gram Language Models -- 7.2 Count Smoothing -- 7.3 Interpolation and Back-off -- 7.4 Managing the Size of the Model -- 7.5 Summary -- Chapter 8 Evaluation -- 8.1 Manual Evaluation -- 8.2 Automatic Evaluation -- 8.3 Hypothesis Testing -- 8.4 Task-Oriented Evaluation -- 8.5 Summary -- Part III Advanced Topics -- Chapter 9 Discriminative Training -- 9.1 Finding Candidate Translations -- 9.2 Principles of Discriminative Methods -- 9.3 Parameter Tuning -- 9.4 Large-Scale Discriminative Training -- 9.5 Posterior Methods and System Combination -- 9.6 Summary -- Chapter 10 Integrating Linguistic Information -- 10.1 Transliteration -- 10.2 Morphology -- 10.3 Syntactic Restructuring -- 10.4 Syntactic Features -- 10.5 Factored Translation Models -- 10.6 Summary -- Chapter 11 Tree-Based Models -- 11.1 Synchronous Grammars -- 11.2 Learning Synchronous Grammars -- 11.3 Decoding by Parsing -- 11.4 Summary -- Bibliography -- Author Index -- Index.

     

    Export in Literaturverwaltung   RIS-Format
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    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 0511689101; 0511691327; 0511815824; 9780511691324; 9780511815829; 9780511689109
    RVK Klassifikation: ES 960 ; ST 306
    Schlagworte: Machine translating; LANGUAGE ARTS & DISCIPLINES ; Translating & Interpreting; Traduction automatique; Machine translating; Maschinelle Übersetzung; Sprachstatistik
    Umfang: 1 Online-Ressource (xii, 433 pages), illustrations
    Bemerkung(en):

    Includes bibliographical references (pages 371-415) and indexes