Approaching Language Transfer through Text Classification / Nejlevnější knihy
Approaching Language Transfer through Text Classification

Kód: 04450116

Approaching Language Transfer through Text Classification

Autor Scott Jarvis

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' lan ... celý popis

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Anotace knihy

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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Zařazení knihy Knihy v angličtině Language linguistics Psycholinguistics

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