05465nam 2200745 450 991081908320332120230807214201.090-272-6870-3(CKB)3710000000379021(EBL)1996993(SSID)ssj0001459283(PQKBManifestationID)12549761(PQKBTitleCode)TC0001459283(PQKBWorkID)11456693(PQKB)10565024(PQKBManifestationID)16037183(PQKB)22526815(DLC) 2015006085(Au-PeEL)EBL1996993(CaPaEBR)ebr11040234(CaONFJC)MIL769228(OCoLC)903436754(MiAaPQ)EBC1996993(EXLCZ)99371000000037902120150417h20152015 uy 0engur|n|---|||||txtccrLearner corpora in language testing and assessment /edited by Marcus Callies, University of Bremen, Sandra Götz, Justus Liebig University, GiessenAmsterdam, [Netherlands] ;Philadelphia, [Pennsylvania] :John Benjamins Publishing Company,2015.©20151 online resource (226 p.)Studies in Corpus Linguistics (SCL),1388-0373 ;Volume 70Description based upon print version of record.90-272-0378-4 Includes bibliographical references at the end of each chapters and index.Learner Corpora in Language Testing and Assessment; Editorial page; Title page; LCC data; Table of contents; Learner corpora in language testing and assessment: Prospects and challenges; Acknowledgements; References; Section I. New corpus resources, tools and methods; The Marburg Corpus of Intermediate Learner English (MILE); 1. Introduction; 2. Learner corpora in the light of the CEFR; 2.1 The raw data; 2.2 The annotation; 3. MILE - design and compilation; 4. Conclusion; References; Avalingua: Natural language processing for automatic error detection; 1. Introduction2. Automatic error detection and correction2.1 Previous research; 2.2 Applications; 3. Avalingua; 3.1 Target; 3.2 Motivations; 3.3 The system; 3.3.1 Lexical module; 3.3.2 Spelling module; 3.3.3 Syntactic module; 3.3.4 Language identification; 3.3.5 Student model; 4. System evaluation; 4.1 A specific implementation; 4.2 The learner corpora; 4.3 Evaluation protocol; 4.4 Results; 4.5 Error analysis and discussion; 5. Conclusions; References; Data commentary in science writing: Using a small, specialized corpus for formative assessment practices; 1. Background and aims2. Approaching data commentary from a pedagogical perspective: The case for small, specialized corpora annotated for discourse movesin the ESP classroom3. A small, specialized corpus of data commentaries; 4. The discourse annotation model; 5. Self-assessment and the role of the corpus; 5.1 Towards corpus-informed formative self-assessment activities; 5.1.1 Teacher-designed activities on moves in data commentaries; 5.1.2 Teacher-designed peer-assessment activities of master's thesis corpus data; 5.1.3 Teacher- and student-initiated activities involving students' own writing6. Final remarks and outlookAcknowledgement; References; First steps in assigning proficiency to texts in a learner corpus of computer-mediated communication; 1. Introduction; 2. The CMC Learner Corpus; 2.1 CMC in the classroom; 2.2 The CMC corpora; 3. Criteria for assigning proficiency; 3.1 Following established practice; 3.2 Practicality and ease of implementation; 3.3 Reference native-speaker norms; 4. Method; 4.1 Performance decision trees; 4.2 Sequence of PDTs; 4.3 PDT for accuracy; 4.4 PDT for fluency; 4.5 PDT for complexity; 5. Results; 5.1 Preliminary results of proficiency ratings5.2 Descriptive statistics5.3 Vocabulary level; 6. Discussion; 6.1 Validity of the proficiency measurement tool; 6.2 PDT proficiency levels and institutional status; 6.3 PDT proficiency levels and individual variation; 6.4 Limitations of the proposed measurement tool; 7. Conclusion; References; Appendix; Section II. Data-driven approaches to the assessment of proficiency; The English Vocabulary Profile as a benchmark for assigning levels to learner corpus data ; 1. Introduction; 2. Developmental indices and language proficiency; 3. The CEFR and reference level descriptions4. The English Profile and criterial featuresStudies in Corpus LinguisticsLanguage and languagesAbility testingData processingLanguage and languagesStudy and teachingData processingElectronic data processingInformation storage and retrieval systemsPunched card systemsLanguage and languagesAbility testingData processing.Language and languagesStudy and teachingData processing.Electronic data processing.Information storage and retrieval systems.Punched card systems.418.0076Callies MarcusGötz SandraMiAaPQMiAaPQMiAaPQBOOK9910819083203321Learner corpora in language testing and assessment1393012UNINA