Vocabulary Knowledge
Human ratings and automated measures
1st Edition
Published in September 2013
VIII, 220 pages
978-90-272-7167-9 (ISBN)
Description
Language researchers and practitioners often adopt tools and techniques without testing whether they really work as they should. This is understandable because most scholars do not have the time or expertise to properly evaluate the usefulness of all instruments, measures, and methods they need. It is therefore critical to have problem solvers in the field who gain the necessary expertise and take the time to scrutinize existing methods, identify problems, and offer new solutions. This volume represents the work of scholars who have done this; it is a collection of the latest advances, developments, and innovations regarding the modeling and measurement of learners' vocabulary growth curves, current levels of vocabulary knowledge and lexical proficiency, and the patterns of lexical diversity found in their language production. Several of the contributors also address the complex but important relationship between automated indices and human judgments of learners' lexical patterns and abilities.
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Content
- Vocabulary Knowledge
- Editorial page
- Title page
- LCC data
- Table of contents
- Bio data of authors
- Introduction
- References
- Chapter 1. Defining and measuring lexical diversity
- 1. Introduction
- 2. Background and terminology
- 3. Identifying the construct
- 4. Defining the construct
- 5. Operationalizing the construct and calibrating the measures
- 6. Conclusions
- Acknowledgements
- References
- Appendix A
- Appendix B
- Chapter 2. From intrinsic to extrinsic issues of lexical diversity assessment
- Introduction
- Intrinsic issues of lexical diversity assessment
- Extrinsic issues of lexical diversity assessment
- Developments in addressing intrinsic issues of lexical diversity assessment The Early Days
- Unanswered questions
- MTLD
- Validity
- Convergent validity
- Divergent validity
- Internal validity
- Incremental validity
- Summary
- Addressing extrinsic issues of lexical diversity assessment
- Design
- Lexical diversity approaches
- Material
- Procedure
- Correlation analysis
- Analysis of variance and covariance for nine groupings
- Analysis of variance and covariance for three groupings
- Analysis of variance and covariance for two groupings
- Three groups of ninth graders
- Three groups of finns by grade
- Summary
- Discussion
- Acknowledgements
- References
- Chapter 3. Measuring lexical diversity among L2 learners of French
- Introduction
- 2. Method
- 3. Results
- 3.1 The effect of lemmatization
- 3.2 Predictive validity
- 3.3 Internal validity: Dependence on text length
- 3.4 Convergent, divergent and incremental validity
- 4. Discussion and conclusion
- References
- Chapter 4. Validating lexical measures using human scores of lexical proficiency
- Introduction
- Validity
- Validity studies of automated lexical indices
- Methods
- Corpus collection
- Survey instrument
- Human ratings
- Variable selection
- Statistical analysis
- Results
- Pearson correlations
- Semantic co-referentiality
- Collocations scores
- Sense relation scores
- Sense frequency scores
- Frequency scores
- Lexical diversity scores
- Multiple regression analysis
- Discussion
- Conclusion
- Acknowledgments
- References
- Appendix
- Holistic rating form
- Chapter 5. Computer simulations of MRC Psycholinguistic Database word properties
- Introduction
- Word concreteness
- Word familiarity
- Word imageability
- Method and hypotheses
- Corpus
- Lexical variables
- Results
- Pearson correlations training set
- Multiple regression training set
- Word concreteness
- Word familiarity
- Word imageability
- Discussion
- Conclusion
- Acknowledgements
- References
- Chapter 6. Modelling L2 vocabulary learning
- Modelling L2 vocabulary learning
- Background
- Model assumptions
- A Model of vocabulary acquisition
- Modelling text production
- Testing the model on ESL texts
- Procedure
- Results and consequences
- Discussion
- Conclusion
- Author note
- Appendix A
- References
- Chapter 7. Vocabulary acquisition and the learning curve
- 1. Introduction
- 2. Language learning curves
- 2.1 An overview of different learning curves
- 2.2 Learning curves and the Power Law
- 3. Lexical richness and its measurement
- 4. Hypotheses
- 5. Methodology
- 5.1 Participants
- 5. 2 Measures and procedure
- 6. Results
- 6.1 Text length
- 6.2 Measures of lexical richness
- 6.3 Ratings by teachers based on IELTS band descriptors
- 6.4 Linear fit lines and Loess curves
- 6.5 Fit lines
- 6.6 The latent growth curve
- 7. Conclusions
- References
- Index
