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Lexical Input Processing and Vocabulary Learning

image of Lexical Input Processing and Vocabulary Learning
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  • Author(s): Joe Barcroft 1
  • View Affiliations Hide Affiliations
    Affiliations: 1: Washington University in St. Louis
  • Format: PDF
  • Publication Date December 2015
  • e-Book ISBN: 9789027268051
  • DOI: https://doi.org/10.1075/lllt.43

Abstract

This book focuses on theory, research, and practice related to <i>lexical input processing</i> (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.

Subjects: Semantics; Applied linguistics; Psycholinguistics; Language teaching; Language acquisition

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