000 | 03229cam a2200421 a 4500 | ||
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999 |
_c77 _d77 |
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001 | 761843275 | ||
003 | OCoLC | ||
005 | 20230612204110.0 | ||
008 | 111130s2012 enka b 001 0 eng | ||
010 | _a2011048973 | ||
020 | _a9781847696977 (pbk) | ||
022 | _a1754-2642 | ||
040 |
_aDLC _beng _cJCRC |
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100 |
_aJarvis, Scott _d1966- |
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245 | 0 | 0 |
_aApproaching Language Transfer through Text Classification : _bExplorations in the Detection-Based Approach / _cedited by Scott Jarvis and Scott A. Crossley. |
250 | _a1st ed. | ||
260 |
_aToronto : _bMultilingual Matters, _c2012. |
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300 |
_aviii, 189 p. : _bill. ; _c24 cm. |
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440 |
_aSecond Language Acquisition _x1754-2642 |
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500 | _aVolume 64 in the Second Language Acquisition Series. | ||
504 | _aIncludes bibliographical references and index. | ||
505 | _a"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." (Book Cover) | ||
505 | _aCONTENTS: | ||
505 |
_a1. The Detection-Based Approach: An Overview / _rScott Jarvis |
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505 |
_a2. Detecting L2 Writers' L1s on the Basis of Their Lexical Styles / _rScott Jarvis, Gabriela Castaneda-Jiménez and Rasmus Nielsen |
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505 |
_a3. Exploring the Role of n-Grams in L1 Identification / _rScott Jarvis and Magali Paquot |
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505 |
_a4. Detecting the First Language of Second Language Writers Using Automated Indices of Cohesion, Lexical Sophistication, Syntactic Complexity and Conceptual Knowledge / _rScott A. Crossley and Danielle S. McNamara |
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505 |
_a5. Error Patterns and Automatic L1 Identification / _rYves Bestgen, Sylvian Granger and Jennifer Thewissen |
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505 |
_a6. The Comparative and Combined Contributions of n-Grams, Coh-Metrix Indices and Error Types in the L1 Classification of Learner Texts / _rScott Jarvis, Yves Bestgen, Scott A. Crossley, Sylviane Granger, Magali Paquot, Jennifer Thewissen and Danielle McNamara |
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505 |
_a7. Detection-Based Approaches: Methods, Theories and Applications / _rScott A. Crossley |
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650 | 0 | _aLanguage transfer (Language learning). | |
650 | 0 |
_aEnglish language _xRhetoric _xStudy and teaching. |
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700 | 1 | _aCrossley, Scott A. | |
830 | 0 | _aSecond language acquisition ; 64. | |
856 |
_uhttps://goo.gl/5EyQYp _zPublisher's Website. |
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856 |
_uhttps://ocul-uo.primo.exlibrisgroup.com/permalink/01OCUL_UO/1lm0b9c/alma991041197719705161 _zCheck the UO Library catalog. |
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942 |
_cBK _e1st Ed. _2ddc |