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Approaching Language Transfer through Text Classification
Approaching Language Transfer through Text Classification

Approaching Language Transfer through Text Classification

Explorations in the Detection-based Approach
Scott Jarvis, Scott A. Crossley
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pages
208 pages
language
English
format
ePUB (mobile friendly)

Approaching Language Transfer through Text Classification

Explorations in the Detection-based Approach
Scott Jarvis, Scott A. Crossley
Book details
Table of contents

About This Book

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.

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Information

Publisher
Channel View Publications
Year
2012
ISBN
9781847697004
Topic
Languages & Linguistics
Subtopic
Psycolinguistics
Edition
1

Table of contents