hermann moisl (19 risultati)

Hardcover. Condizione: Good. No Jacket. 1999 hardcover published without jacket/ex-library with usual markings/clean & unmarked text.

hardcover. Condizione: Good. Used items may contain, highlighting, writing, and other previous signs of use. Used items may not contain CD's. access codes and other accompanying items when applicable. **MAY BE AN EX LIBRARY COPY**.

Condizione: New. pp. 260.

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.

Condizione: New. Editor(s): Beal, Joan C.; Corrigan, Karen P.; Moisl, Hermann L. Num Pages: 264 pages, biography. BIC Classification: CFB; CFFD; CFH; CFK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 216 x 140 x 15. Weight in Grams: 465. . 2007. Hardback. . . . .

Hardcover. Condizione: Brand New. illustrated edition. 260 pages. 8.75x5.75x0.75 inches. In Stock.

Hardcover. Condizione: Brand New. illustrated edition. 260 pages. 9.00x6.00x1.00 inches. In Stock.

Condizione: New. In.

Condizione: New. Editor(s): Beal, Joan C.; Corrigan, Karen P.; Moisl, Hermann L. Num Pages: 264 pages, biography. BIC Classification: CFB; CFFD; CFH; CFK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 216 x 140 x 15. Weight in Grams: 465. . 2007. Hardback. . . . . Books ship from the US and Ireland.

Hardback. Condizione: New. 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.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 964 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Hardback. Condizione: New. 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.

Originalleinen. Condizione: Sehr gut. 203 S. Aus dem Nachlass von Michael Richter. Mit Namensstempel auf Vorsatz und mit einzelnen handschriftlichen Verbesserungen und Ergänzungen von Michael Richter. Ein gutes und sauberes Exemplar. - Inhalt: Introduction: Aim -- Scope -- Definition of terms -- The evidence -- Authorial competence -- Methodology -- The Germans: historical overview -- The earliest Germans -- Lordship among the early Germans -- Early Germanic historical tradition -- Lordship and historical tradition among the early Germans -- The Goths -- Gothic lordship -- Gothic historical tradition -- Lordship and historical tradition among the Goths -- The Lombards -- Lombard lordship -- Lombard historical tradition -- Lordship and historical tradition among the Lombards -- The Franks -- Frankish lordship -- Frankish historical tradition -- Lordship and historical tradition among the Franks -- The Anglo-Saxons -- Anglo-Saxon lordship ii. Anglo-Saxon historical tradition -- Lordship and historical tradition among the Anglo-Saxons -- The Celts: historical overview -- Gaul -- Gaulish lordship -- Gaulish historical tradition -- Lordship and historical tradition among the Gauls -- Ireland -- Irish lordship -- Irish historical tradition -- Lordship and historical tradition among the Irish. ISBN 9780773481510 Sprache: Deutsch Gewicht in Gramm: 550.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. PRINT ON DEMAND pp. 266.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Hermann Moisl, Newcas.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 398 pp. Englisch.

Buch. Condizione: Neu. Cluster Analysis for Corpus Linguistics | Hermann Moisl | Buch | XV | Englisch | 2015 | De Gruyter | EAN 9783110350258 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu Print on Demand.