Multifactorial Analysis in Corpus Linguistics

Multifactorial Analysis in Corpus Linguistics
Author :
Publisher : A&C Black
Total Pages : 244
Release :
ISBN-10 : 0826476066
ISBN-13 : 9780826476067
Rating : 4/5 (067 Downloads)

Book Synopsis Multifactorial Analysis in Corpus Linguistics by : Stefan Thomas Gries

Download or read book Multifactorial Analysis in Corpus Linguistics written by Stefan Thomas Gries and published by A&C Black. This book was released on 2005-04-29 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a novel analysis of the word-order alternation of English transitive phrasal verbs (Particle Movement) from a cognitive-functional and psycholinguistic perspective. Its main objective, however, is a methodological one, namely, to demonstrate the superiority of corpus-based, multifactorial and probabilistic approaches to grammatical phenomena over traditional analyses based on acceptability judgements and minimal pair tests. The advantages resulting from the advocated multifactorial approach to Particle Movement are: Particle Movement can be described at a previously unknown level of detail; all determinants ever proposed to govern the alternation can be integrated into a single hypothesis explaining the alternation; constructions can be compared to each other with respect to their degree of prototypicality and similarity; it is possible to actually predict with a high degree of accuracy which of the two word orders native speakers will subconsciously choose in the natural production of speech and text (thereby passing the most rigorous test conceivable); finally, competing hypotheses can be compared in terms of their predictive power. Apart from these methodological points, the study also addresses the more theoretical and linguistic question of how to explain such results. It is argued that theories of language production that rest on the notion of processing effort are, contrary to some contemporary analysts, not ideally suited to explain such phenomena and that interactive activation models of language production allow for a more elegant interpretation and implementation of the results.

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