A Corpus-Informed Investigation into Environmental Engineering English

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Details

The aim of this book is to describe the domain-specific language of environmental engineering English calling on the aid of corpus-linguistic methods on the lexical and the morphological level in order to deduce useful information for ESP-courses at university level. It comprises an introduction into general corpus-linguistic concepts and the approach taken as well as an explanation of the corpus planning and the corpus design. Furthermore, concordance data is made use of in order to deduce information on collocation, colligation, semantic preference and semantic prosody for this special language and on the morphological level, word-formation phenomena and their productivity are investigated. Finally, the application of the derived corpus data in the ESP-class is examined.

Autorentext

The Author: Sylvana Krauße studied English and French at the University of Halle-Wittenberg. Since 1999 she has been an ESP-lecturer and head of the Languages Centre at Fachhochschule Nordhausen. In 2007 the author completed her Ph.D. at the University of Jena. Her research interests focus on corpus linguistics and domain-specific lexicography.


Inhalt
Contents: Corpus-linguistic investigation into the domain-specific language of environmental engineering English Collocation Colligation Semantic preference and semantic prosody in a domain-specific language Word-formation phenomena Morphological productivity Application in ESP-courses at university level.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Titel A Corpus-Informed Investigation into Environmental Engineering English
    • ISBN 978-3-631-57728-8
    • Format Fachbuch
    • EAN 9783631577288
    • Jahr 2008
    • Größe H210mm x B12mm x T148mm
    • Autor Sylvana Krauße
    • Untertitel Dissertationsschrift
    • Gewicht 290g
    • Auflage Neuausg.
    • Genre Sprach- und Literaturwissenschaften
    • Anzahl Seiten 224
    • Herausgeber Lang, Peter GmbH
    • GTIN 09783631577288

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