Lexical Input Processing and Vocabulary Learning

Author:   Joe Barcroft (Washington University in St. Louis)
Publisher:   John Benjamins Publishing Co
Volume:   43
ISBN:  

9789027213280


Pages:   194
Publication Date:   11 December 2015
Format:   Hardback
Availability:   Available To Order   Availability explained
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Lexical Input Processing and Vocabulary Learning


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Overview

This book focuses on theory, research, and practice related to lexical input processing (lex-IP), an exciting field exploring how learners allocate their limited processing resources when exposed to words and lexical phrases in the input. Unit 1 specifies parameters of lex-IP research among other levels of input processing as well as key components (form, meaning, mapping) and contexts (incidental/intentional) of vocabulary learning. Unit 2 highlights theoretical advances, such as the type of processing – resource allocation (TOPRA) model, consistent with research on tasks (sentence writing, word copying, word retrieval) that learners may perform during vocabulary learning. Unit 3 highlights patterns in partial word form learning and input-based effects, including the value of increased exposure, drawbacks of presenting vocabulary in semantic sets, and advantages of input enhancement, particularly with regard to increasing talker, speaking-style, and speaking-rate variability in spoken input. The book unifies a range of research pertinent to lex-IP, summarizes theoretical and instructional implications, and proposes intriguing new directions for future research.

Full Product Details

Author:   Joe Barcroft (Washington University in St. Louis)
Publisher:   John Benjamins Publishing Co
Imprint:   John Benjamins Publishing Co
Volume:   43
Weight:   0.510kg
ISBN:  

9789027213280


ISBN 10:   9027213283
Pages:   194
Publication Date:   11 December 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

1. Acknowledgments; 2. Chapter 1. Introduction; 3. Understanding lex-ip; 4. Chapter 2. Multiple Levels of Input Processing and Language Learning; 5. Chapter 3. Three Key Components of Learning a Word: Form, Meaning, Mapping; 6. Chapter 4. Contexts of Lexical Input Processing: L1/L2 and Incidental/Intentional; 7. Task-based effects; 8. Chapter 5. Specificity in Type of Processing and Learning: The TOPRA Model; 9. Chapter 6. Effects of Tasks Involving Semantic and Structural Elaboration; 10. Chapter 7. Effects of Output with and without Access to Meaning; 11. Chapter 8. Effects of Opportunities for Target Word Retrieval; 12. Input-based effects; 13. Chapter 9. Privileging and Patterns in Partial Word Form Learning; 14. Chapter 10. Effects of Increased and Spaced Exposure; 15. Chapter 11. Effects of Semantic versus Thematic Sets; 16. Chapter 12. Effects of Input Enhancement; 17. Chapter 13. Effects of Acoustically Varied Input; 18. Conclusions and future research; 19. Chapter 14. Summary of Theoretical and Instructional Implications; 20. Chapter 15. Directions for Future Research; 21. References; 22. Appendix A; 23. Appendix B; 24. Index

Reviews

Lexical Input Processing and Vocabulary Learning is informative and benefits from a readable style of writing, clear organization and classification of content as a whole and in each chapter, smooth and easy reading, and clear presentation of ideas to the SLA researchers, students, and instructors interested in lex-IP for whom it is intended. -- Is’haaq Akbarian, University of Qom, Iran, in Applied Linguistics 2016


Lexical Input Processing and Vocabulary Learning is informative and benefits from a readable style of writing, clear organization and classification of content as a whole and in each chapter, smooth and easy reading, and clear presentation of ideas to the SLA researchers, students, and instructors interested in lex-IP for whom it is intended. -- Is'haaq Akbarian, University of Qom, Iran, in Applied Linguistics 2016


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