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
Resource Information
The item Learner corpora in language testing and assessment, edited by Marcus Callies, University of Bremen ; Sandra Götz, Justus Liebig University, Giessen represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.This item is available to borrow from 1 library branch.
Resource Information
The item Learner corpora in language testing and assessment, edited by Marcus Callies, University of Bremen ; Sandra Götz, Justus Liebig University, Giessen represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.
This item is available to borrow from 1 library branch.
- Extent
- 1 online resource
- 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
- Isbn
- 9789027203786
- 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
- Subject
-
- Learner autonomy
- Electronic books
- FOREIGN LANGUAGE STUDY -- Multi-Language Phrasebooks
- LANGUAGE ARTS & DISCIPLINES -- Alphabets & Writing Systems
- LANGUAGE ARTS & DISCIPLINES -- Grammar & Punctuation
- LANGUAGE ARTS & DISCIPLINES -- Linguistics | General
- LANGUAGE ARTS & DISCIPLINES -- Readers
- LANGUAGE ARTS & DISCIPLINES -- Spelling
- Language and languages -- Ability testing | Data processing
- Language and languages -- Ability testing | Data processing
- Language and languages -- Study and teaching | Data processing
- Language and languages -- Study and teaching | Data processing
- Learner autonomy
- Language
- eng
- 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
- 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
- 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
Subject
- Learner autonomy
- Electronic books
- FOREIGN LANGUAGE STUDY -- Multi-Language Phrasebooks
- LANGUAGE ARTS & DISCIPLINES -- Alphabets & Writing Systems
- LANGUAGE ARTS & DISCIPLINES -- Grammar & Punctuation
- LANGUAGE ARTS & DISCIPLINES -- Linguistics | General
- LANGUAGE ARTS & DISCIPLINES -- Readers
- LANGUAGE ARTS & DISCIPLINES -- Spelling
- Language and languages -- Ability testing | Data processing
- Language and languages -- Ability testing | Data processing
- Language and languages -- Study and teaching | Data processing
- Language and languages -- Study and teaching | Data processing
- Learner autonomy
Genre
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.mst.edu/portal/Learner-corpora-in-language-testing-and/W1BNl6sS2H0/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/portal/Learner-corpora-in-language-testing-and/W1BNl6sS2H0/">Learner corpora in language testing and assessment, edited by Marcus Callies, University of Bremen ; Sandra Götz, Justus Liebig University, Giessen</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>
