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  • 1
    Online-Ressource
    Online-Ressource
    Dordrecht : Springer
    ISBN: 9789401786454
    Sprache: Englisch
    Seiten: Online-Ressource (XI, 186 p. 22 illus, online resource)
    Serie: SpringerLink
    Serie: Bücher
    Serie: Springer eBook Collection
    Serie: Humanities, Social Sciences and Law
    Paralleltitel: Druckausg. Lu, Xiaofei Computational methods for corpus annotation and analysis
    Paralleltitel: Erscheint auch als Computational methods for corpus annotation and analysis
    RVK:
    Schlagwort(e): Translators (Computer programs) ; Applied linguistics ; Linguistics ; Korpus ; Computerlinguistik
    Kurzfassung: In the past few decades the use of increasingly large text corpora has grown rapidly in language and linguistics research. This was enabled by remarkable strides in natural language processing (NLP) technology, technology that enables computers to automatically and efficiently process, annotate and analyze large amounts of spoken and written text in linguistically and/or pragmatically meaningful ways. It has become more desirable than ever before for language and linguistics researchers who use corpora in their research to gain an adequate understanding of the relevant NLP technology to take full advantage of its capabilities. This volume provides language and linguistics researchers with an accessible introduction to the state-of-the-art NLP technology that facilitates automatic annotation and analysis of large text corpora at both shallow and deep linguistic levels. The book covers a wide range of computational tools for lexical, syntactic, semantic, pragmatic and discourse analysis, together with detailed instructions on how to obtain, install and use each tool in different operating systems and platforms. The book illustrates how NLP technology has been applied in recent corpus-based language studies and suggests effective ways to better integrate such technology in future corpus linguistics research. This book provides language and linguistics researchers with a valuable reference for corpus annotation and analysis.
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 2
    Online-Ressource
    Online-Ressource
    Dordrecht : Springer
    ISBN: 9781402026379
    Sprache: Englisch
    Seiten: Online-Ressource , v.: digital
    Ausgabe: Online-Ausg. Springer eBook Collection. Humanities, Social Science and Law Electronic reproduction; Available via World Wide Web
    Serie: Text, Speech and Language Technology 25
    RVK:
    Schlagwort(e): Applied Linguistics ; Computational Linguistics ; Linguistics ; Translators (Computer programs) ; Sprachverarbeitung ; Phonetik
    Kurzfassung: Continued progress in Speech Technology in the face of ever-increasing demands on the performance levels of applications is a challenge to the whole speech and language science community. Robust recognition and understanding of spontaneous speech in varied environments, good comprehensibility and naturalness of expressive speech synthesis are goals that cannot be achieved without a change of paradigm. This book argues for interdisciplinary communication and cooperation in problem-solving in general, and discusses the interaction between speech and language engineering and phonetics in particular. With a number of reports on innovative speech technology research as well as more theoretical discussions, it addresses the practical, scientific and sometimes the philosophical problems that stand in the way of cross-disciplinary collaboration and illuminates some of the many possible ways forward. Audience: Researchers and professionals in speech technology and computational linguists.
    Beschreibung / Inhaltsverzeichnis: Phonetic Knowledge in Speech Technology; Can Phonetic Knowledge be Used to Improve the Performance of Speech Recognisers and Synthesisers?; Prosodic Models, Automatic Speech Understanding, and Speech Synthesis: Towards the Common Ground?; Phonetic Time Maps; Introducing Phonetically Motivated, Heterogeneous Information into Automatic Speech Recognition; Introducing Contextual Transcription Rules in Large Vocabulary Speech Recognition; From Here to Utility; Pronunciation Modeling; Phonetic Knowledge in Text-to-Speech Synthesis; Is Phonetic Knowledge of Any Use for Speech Technology?
    Anmerkung: Description based upon print version of record , Electronic reproduction; Available via World Wide Web
    URL: Volltext  (lizenzpflichtig)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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