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Cluster analysis for corpus linguistics / / by Hermann Moisl



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Autore: Moisl Hermann <1949-> Visualizza persona
Titolo: Cluster analysis for corpus linguistics / / by Hermann Moisl Visualizza cluster
Pubblicazione: Berlin ; ; Boston : , : De Gruyter, , [2015]
©2015
Descrizione fisica: 1 online resource (398 p.)
Disciplina: 410.1/880151953
Soggetto topico: Corpora (Linguistics) - Data processing
Cluster analysis - Data processing
Natural language processing (Computer science)
Quantitative linguistics
Computational linguistics
Soggetto non controllato: Corpus linguistics
cluster analysis
hypothesis generation
quantitative linguistics
Classificazione: ES 900
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references (pages 311-358) and index.
Nota di contenuto: Front matter -- Preface -- Contents -- List of figures -- 1. Introduction -- 2. Motivation -- 3. Data -- 4. Cluster -- 5. Hypothesis generation -- 6. Literature Review -- 7. Conclusion -- 8. Appendix -- References -- Subject index
Sommario/riassunto: The standard scientific methodology in linguistics is empirical testing of falsifiable hypotheses. As such the process of hypothesis generation is central, and involves formulation of a research question about a domain of interest and statement of a hypothesis relative to it. In corpus linguistics the domain is text, and generation involves abstraction of data from text, data analysis, and formulation of a hypothesis based on inference from the results. Traditionally this process has been paper-based, but the advent of electronic text has increasingly rendered it obsolete both because the size of digital corpora is now at or beyond the limit of what can efficiently be used in the traditional way, and because the complexity of data abstracted from them can be impenetrable to understanding. Linguists are increasingly turning to mathematical and statistical computational methods for help, and cluster analysis is such a method. It is used across the sciences for hypothesis generation by identification of structure in data which are too large or complex, or both, to be interpretable by direct inspection. This book aims to show how cluster analysis can be used for hypothesis generation in corpus linguistics, thereby contributing to a quantitative empirical methodology for the discipline.
Titolo autorizzato: Cluster analysis for corpus linguistics  Visualizza cluster
ISBN: 3-11-036381-X
3-11-039317-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910828168703321
Lo trovi qui: Univ. Federico II
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Serie: Quantitative linguistics ; ; 66.