03553nam 2200613 a 450 991045256540332120200520144314.01-280-99883-097866137704481-84769-699-610.21832/9781847696991(CKB)2550000000108262(EBL)977734(OCoLC)806204967(MiAaPQ)EBC977734(DE-B1597)491364(OCoLC)1043622844(DE-B1597)9781847696991(Au-PeEL)EBL977734(CaPaEBR)ebr10582794(CaONFJC)MIL377044(EXLCZ)99255000000010826220111130d2012 uy 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierApproaching language transfer through text classification[electronic resource] explorations in the detection-based approach /edited by Scott Jarvis and Scott A. CrossleyBristol ;Buffalo Multilingual Mattersc20121 online resource (196 p.)Second language acquisition ;64Description based upon print version of record.1-84769-698-8 1-84769-697-X Includes bibliographical references.Frontmatter --Contents --Contributors --1. The Detection-Based Approach: An Overview --2. Detecting L2 Writers’ L1s on the Basis of Their Lexical Styles --3. Exploring the Role of n-Grams in L1 Identification --4. Detecting the First Language of Second Language Writers Using Automated Indices of Cohesion, Lexical Sophistication, Syntactic Complexity and Conceptual Knowledge --5. Error Patterns and Automatic L1 Identification --6. The Comparative and Combined Contributions of n-Grams, Coh-Metrix Indices and Error Types in the L1 Classification of Learner Texts --7. Detection-Based Approaches: Methods, Theories and ApplicationsRecent 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.Second language acquisition (Clevedon, England) ;64.Language transfer (Language learning)English languageRhetoricStudy and teachingElectronic books.Language transfer (Language learning)English languageRhetoricStudy and teaching.401/.93Jarvis Scott1966-908309Crossley Scott A1031467MiAaPQMiAaPQMiAaPQBOOK9910452565403321Approaching language transfer through text classification2448873UNINA