Approaching Language Transfer through Text Classification - Explorations in the Detection-based Approach (Paperback)

Recent work has pointed to the need for a detection-based approach to transfer capable of discovering elusive crosslinguistic effects through the use of human judges and computer classifiers that can learn to predict learners' language backgrounds based on their patterns of language use. This book addresses that need. It details the nature of the detection-based approach, discusses how this approach fits into the overall scope of transfer research, and discusses the few previous studies that have laid the groundwork for this approach. The core of the book consists of five empirical studies that use computer classifiers to detect the native-language affiliations of texts written by foreign language learners of English. The results highlight combinations of language features that are the most reliable predictors of learners' language backgrounds.

General

Imprint:	Multilingual Matters
Country of origin:	United Kingdom
Series:	Second Language Acquisition
Release date:	March 2012
Editors:	Scott Jarvis • Scott A. Crossley
Dimensions:	234 x 156 x 11mm (L x W x T)
Format:	Paperback
Pages:	200
ISBN-13:	978-1-84769-697-7
Categories:	Books > Language & Literature > Language & linguistics > Semantics (meaning) > Lexicography Books > Language & Literature > Language teaching & learning (other than ELT) > Specific skills > General Promotions
LSN:	1-84769-697-X
Barcode:	9781847696977

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