Coverart for item
The Resource Learner corpora in language testing and assessment, edited by Marcus Callies, University of Bremen ; Sandra Götz, Justus Liebig University, Giessen

Learner corpora in language testing and assessment, edited by Marcus Callies, University of Bremen ; Sandra Götz, Justus Liebig University, Giessen

Label
Learner corpora in language testing and assessment
Title
Learner corpora in language testing and assessment
Statement of responsibility
edited by Marcus Callies, University of Bremen ; Sandra Götz, Justus Liebig University, Giessen
Contributor
Editor
Subject
Genre
Language
eng
Member of
Cataloging source
DLC
Dewey number
418.0076
Index
index present
Language note
English
LC call number
P53.4
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Callies, Marcus
  • Götz, Sandra
Series statement
Studies in Corpus Linguistics
Series volume
v. 70
http://library.link/vocab/subjectName
  • Language and languages
  • Language and languages
  • Learner autonomy
  • FOREIGN LANGUAGE STUDY
  • LANGUAGE ARTS & DISCIPLINES
  • LANGUAGE ARTS & DISCIPLINES
  • LANGUAGE ARTS & DISCIPLINES
  • LANGUAGE ARTS & DISCIPLINES
  • LANGUAGE ARTS & DISCIPLINES
  • Language and languages
  • Language and languages
  • Learner autonomy
Label
Learner corpora in language testing and assessment, edited by Marcus Callies, University of Bremen ; Sandra Götz, Justus Liebig University, Giessen
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 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. Introduction
  • 2. 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 aims
  • 2. 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 writing
  • 6. 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 ratings
  • 5.2 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 descriptions
Control code
903436754
Extent
1 online resource
Form of item
online
Isbn
9789027203786
Lccn
2015006085
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
1996993
Specific material designation
remote
System control number
(OCoLC)903436754
Label
Learner corpora in language testing and assessment, edited by Marcus Callies, University of Bremen ; Sandra Götz, Justus Liebig University, Giessen
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 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. Introduction
  • 2. 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 aims
  • 2. 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 writing
  • 6. 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 ratings
  • 5.2 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 descriptions
Control code
903436754
Extent
1 online resource
Form of item
online
Isbn
9789027203786
Lccn
2015006085
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
1996993
Specific material designation
remote
System control number
(OCoLC)903436754

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