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Learning the Language of Dentistry : Disciplinary Corpora in the Teaching of English for Specific Academic Purposes.

By: Contributor(s): Material type: TextTextSeries: Studies in Corpus Linguistics SeriesPublisher: Amsterdam/Philadelphia : John Benjamins Publishing Company, 2019Copyright date: ©2019Edition: 1st edDescription: 1 online resource (238 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789027261984
Subject(s): Genre/Form: Additional physical formats: Print version:: Learning the Language of DentistryDDC classification:
  • 617.60014
LOC classification:
  • RK28 .C767 2019
Online resources:
Contents:
Intro -- Learning the Language of Dentistry -- Editorial page -- Title page -- Copyright page -- Table of contents -- Acknowledgements -- Foreword: Corpora and specialised English in the university curriculum -- References -- Chapter 1. Getting to the 'root' of the problem: Introduction to the volume -- 1.1 EAP, EGAP, ESAP, and the ESAP conundrum for non-specialist disciplinary language tutors -- 1.2 Introduction to Section 1 -- 1.2.1 Definitions of register/genre -- 1.2.2 Analysing register -- 1.2.3 Genres for analysis -- 1.3 Chapter 2 - 'Extracting' the linguistic dimensions of dentistry experimental research articles -- 1.4 Chapter 3 - Persuasive stories?: Professional and novice research reports for Dental Public Health -- 1.5 Chapter 4 - Understanding Disciplinary vs. Non-disciplinary terminology: Insights from the dentistry case report genre -- 1.6 Introduction to Section 2 -- 1.7 Chapter 5 - Data-driven dentistry: Corpora, ESAP, and writing to learn -- 1.8 Chapter 6 - Putting it into (dental) 'practice': User engagement with dentistry corpora and DDL -- 1.9 Chapter 7 - Reflections on practice, future directions -- Section 1. The language of dentistry - A corpus-based exploration of language features across the dentistry register -- Chapter 2. 'Extracting' the linguistic dimensions of dentistry experimental research articles -- 2.1 Introduction -- 2.2 Corpus construction -- 2.3 MDA Version 1: Comparison with Biber's (1988) dimensions -- 2.4 MAT analyses across Biber's (1988) dimensions -- 2.5 MDA version 2: The functional dimensions of dentistry research articles -- 2.5.1 Function 1 - confirming findings as facts -- 2.5.2 Function 2: Categorising patient types -- 2.5.3 Dimension 1: Narrative vs. non-narrative concerns -- 2.5.4 Dimension 2: Active vs. passive -- 2.5.5 Dimension 3: Involved vs. informational discourse.
2.5.6 Dentistry vs. General medical research reports -- 2.6 Discipline-specific lexis and phraseology -- 2.7 Chapter summary -- Chapter 3. Persuasive stories?: Professional and novice research reports for Dental Public Health -- 3.1 Introduction -- 3.2 Corpora for investigation -- 3.2.1 Professional Dentistry Corpus - Community Dental Health -- 3.2.2 Learner Corpus of Dentistry Reports -- 3.3 Analysis 1: Multidimensional analysis -- 3.3.1 Dimension 1 - Narrative vs. Informative -- 3.3.2 Dimension 2 - Persuasive vs. Objective -- 3.3.3 Dimension 3 - Tentative vs. Authoritative -- 3.3.4 Dimension 4 - Active vs. Passive -- 3.3.5 Dimension 5 - Animate vs. Inanimate -- 3.4 Analysis 2: Making claims personal: Hedging, boosting and self-mention -- 3.4.1 Hedging -- 3.4.2 Boosting -- 3.4.3 Self-mentions -- 3.5 Narrative features of novice Dental Public Health writing: An NLP approach -- 3.6 Chapter summary -- Chapter 4. Understanding Disciplinary vs. Non-disciplinary terminology: Insights from the dentistry case report genre -- 4.1 Introduction -- 4.2 Natural language processing and ESAP -- 4.3 Constructing a corpus of case reports -- 4.4 "Fear and disgust": A sentiment analysis of dental case reports -- 4.4.1 Procedure -- 4.4.2 Negative adjectives -- 4.4.3 Fear and disgust -- 4.4.4 Well-being -- 4.4.5 Positive nouns and verbs -- 4.5 Arts, crafts and dentistry? The semantic domains of dentistry case reports -- 4.5.1 Procedure -- 4.5.2 General and abstract terms -- 4.5.3 The body and the individual -- 4.5.4 Numbers and measurement -- 4.5.5 Substances, objects and materials -- 4.5.6 Movement, location, travel and transport -- 4.5.7 Psychological actions, states and processes -- 4.5.8 Time -- 4.5.9 Social actions, states and processes -- 4.5.10 Combined semantic subdomains specific to dentistry case reports -- 4.6 Scattertext and semantic domains.
4.7 Chapter summary -- Section 2. Applying corpus insights for ESAP pedagogy -- Chapter 5. Data-driven dentistry: Corpora, ESAP, and writing to learn -- 5.1 Introduction -- 5.2 The problem with 'learning-to-write' -- 5.3 Corpora and 'writing to learn' -- 5.4 Trial and error: First integration of corpora into ED provision -- 5.5 Trying again - a new corpus platform -- 5.6 Corpus tasks -- 5.6.1 Supplementary Moodle tasks -- 5.6.2 Additional activities -- 5.7 Chapter summary -- Chapter 6. Putting it into (dental) 'practice': User engagement with dentistry corpora and DDL -- 6.1 Introduction -- 6.2 Students' previous language reference habits -- 6.3 Learner behaviour tracking parameters and analysis -- 6.4 Total user engagement -- 6.5 Queries by section (Learner corpus) -- 6.6 Queries by function -- 6.7 Query logs: Learner corpus -- 6.8 Query logs: Professional corpus -- 6.9 Corpus query habits: Top 10 users -- 6.10 Corpus usage history: Activity logs -- 6.10.1 Case 1: The abstract thinker -- 6.10.2 Case 2: The switcher -- 6.10.3 Case 3: The quitter -- 6.10.4 Case 4: The perfectionist -- 6.11 Chapter summary -- Chapter 7. Reflections on practice, and future directions -- 7.1 What did we do, and what did we learn? -- 7.2 Did it work? -- 7.2.1 Student evaluation of DDL -- 7.2.2 ESAP tutors' perceptions of DDL -- 7.2.3 Disciplinary tutor's perceptions of DDL -- 7.3 What is left to do? -- 7.4 Closing comments -- References -- Appendix A. Language Features in EFA Model (Chapter 2) -- Appendix B. Keywords from the dentistry research article corpus (Chapter 2) -- Index.
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Intro -- Learning the Language of Dentistry -- Editorial page -- Title page -- Copyright page -- Table of contents -- Acknowledgements -- Foreword: Corpora and specialised English in the university curriculum -- References -- Chapter 1. Getting to the 'root' of the problem: Introduction to the volume -- 1.1 EAP, EGAP, ESAP, and the ESAP conundrum for non-specialist disciplinary language tutors -- 1.2 Introduction to Section 1 -- 1.2.1 Definitions of register/genre -- 1.2.2 Analysing register -- 1.2.3 Genres for analysis -- 1.3 Chapter 2 - 'Extracting' the linguistic dimensions of dentistry experimental research articles -- 1.4 Chapter 3 - Persuasive stories?: Professional and novice research reports for Dental Public Health -- 1.5 Chapter 4 - Understanding Disciplinary vs. Non-disciplinary terminology: Insights from the dentistry case report genre -- 1.6 Introduction to Section 2 -- 1.7 Chapter 5 - Data-driven dentistry: Corpora, ESAP, and writing to learn -- 1.8 Chapter 6 - Putting it into (dental) 'practice': User engagement with dentistry corpora and DDL -- 1.9 Chapter 7 - Reflections on practice, future directions -- Section 1. The language of dentistry - A corpus-based exploration of language features across the dentistry register -- Chapter 2. 'Extracting' the linguistic dimensions of dentistry experimental research articles -- 2.1 Introduction -- 2.2 Corpus construction -- 2.3 MDA Version 1: Comparison with Biber's (1988) dimensions -- 2.4 MAT analyses across Biber's (1988) dimensions -- 2.5 MDA version 2: The functional dimensions of dentistry research articles -- 2.5.1 Function 1 - confirming findings as facts -- 2.5.2 Function 2: Categorising patient types -- 2.5.3 Dimension 1: Narrative vs. non-narrative concerns -- 2.5.4 Dimension 2: Active vs. passive -- 2.5.5 Dimension 3: Involved vs. informational discourse.

2.5.6 Dentistry vs. General medical research reports -- 2.6 Discipline-specific lexis and phraseology -- 2.7 Chapter summary -- Chapter 3. Persuasive stories?: Professional and novice research reports for Dental Public Health -- 3.1 Introduction -- 3.2 Corpora for investigation -- 3.2.1 Professional Dentistry Corpus - Community Dental Health -- 3.2.2 Learner Corpus of Dentistry Reports -- 3.3 Analysis 1: Multidimensional analysis -- 3.3.1 Dimension 1 - Narrative vs. Informative -- 3.3.2 Dimension 2 - Persuasive vs. Objective -- 3.3.3 Dimension 3 - Tentative vs. Authoritative -- 3.3.4 Dimension 4 - Active vs. Passive -- 3.3.5 Dimension 5 - Animate vs. Inanimate -- 3.4 Analysis 2: Making claims personal: Hedging, boosting and self-mention -- 3.4.1 Hedging -- 3.4.2 Boosting -- 3.4.3 Self-mentions -- 3.5 Narrative features of novice Dental Public Health writing: An NLP approach -- 3.6 Chapter summary -- Chapter 4. Understanding Disciplinary vs. Non-disciplinary terminology: Insights from the dentistry case report genre -- 4.1 Introduction -- 4.2 Natural language processing and ESAP -- 4.3 Constructing a corpus of case reports -- 4.4 "Fear and disgust": A sentiment analysis of dental case reports -- 4.4.1 Procedure -- 4.4.2 Negative adjectives -- 4.4.3 Fear and disgust -- 4.4.4 Well-being -- 4.4.5 Positive nouns and verbs -- 4.5 Arts, crafts and dentistry? The semantic domains of dentistry case reports -- 4.5.1 Procedure -- 4.5.2 General and abstract terms -- 4.5.3 The body and the individual -- 4.5.4 Numbers and measurement -- 4.5.5 Substances, objects and materials -- 4.5.6 Movement, location, travel and transport -- 4.5.7 Psychological actions, states and processes -- 4.5.8 Time -- 4.5.9 Social actions, states and processes -- 4.5.10 Combined semantic subdomains specific to dentistry case reports -- 4.6 Scattertext and semantic domains.

4.7 Chapter summary -- Section 2. Applying corpus insights for ESAP pedagogy -- Chapter 5. Data-driven dentistry: Corpora, ESAP, and writing to learn -- 5.1 Introduction -- 5.2 The problem with 'learning-to-write' -- 5.3 Corpora and 'writing to learn' -- 5.4 Trial and error: First integration of corpora into ED provision -- 5.5 Trying again - a new corpus platform -- 5.6 Corpus tasks -- 5.6.1 Supplementary Moodle tasks -- 5.6.2 Additional activities -- 5.7 Chapter summary -- Chapter 6. Putting it into (dental) 'practice': User engagement with dentistry corpora and DDL -- 6.1 Introduction -- 6.2 Students' previous language reference habits -- 6.3 Learner behaviour tracking parameters and analysis -- 6.4 Total user engagement -- 6.5 Queries by section (Learner corpus) -- 6.6 Queries by function -- 6.7 Query logs: Learner corpus -- 6.8 Query logs: Professional corpus -- 6.9 Corpus query habits: Top 10 users -- 6.10 Corpus usage history: Activity logs -- 6.10.1 Case 1: The abstract thinker -- 6.10.2 Case 2: The switcher -- 6.10.3 Case 3: The quitter -- 6.10.4 Case 4: The perfectionist -- 6.11 Chapter summary -- Chapter 7. Reflections on practice, and future directions -- 7.1 What did we do, and what did we learn? -- 7.2 Did it work? -- 7.2.1 Student evaluation of DDL -- 7.2.2 ESAP tutors' perceptions of DDL -- 7.2.3 Disciplinary tutor's perceptions of DDL -- 7.3 What is left to do? -- 7.4 Closing comments -- References -- Appendix A. Language Features in EFA Model (Chapter 2) -- Appendix B. Keywords from the dentistry research article corpus (Chapter 2) -- Index.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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