Approaching Language Transfer through Text Classification

Explorations in the Detection-based Approach

Nonfiction, Reference & Language, Language Arts, Study & Teaching, Linguistics
Cover of the book Approaching Language Transfer through Text Classification by , Channel View Publications
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Author: ISBN: 9781847697004
Publisher: Channel View Publications Publication: March 14, 2012
Imprint: Multilingual Matters Language: English
Author:
ISBN: 9781847697004
Publisher: Channel View Publications
Publication: March 14, 2012
Imprint: Multilingual Matters
Language: English

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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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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