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Approaching Language Transfer Through Text Classification: Explorations in the Detection-Based Approach

Approaching Language Transfer Through Text Classification: Explorations in the Detection-Based Approach

Scott Jarvis
0/5 ( ratings)
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 learnersa 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 learnersa language backgrounds.
Language
English
Pages
200
Format
Hardcover
Publisher
Multilingual Matters Limited
Release
March 14, 2012
ISBN
1847696988
ISBN 13
9781847696984

Approaching Language Transfer Through Text Classification: Explorations in the Detection-Based Approach

Scott Jarvis
0/5 ( ratings)
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 learnersa 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 learnersa language backgrounds.
Language
English
Pages
200
Format
Hardcover
Publisher
Multilingual Matters Limited
Release
March 14, 2012
ISBN
1847696988
ISBN 13
9781847696984

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