Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-18T08:55:01.278Z Has data issue: false hasContentIssue false

TOWARD A LEXICAL PROCESSING MODEL FOR THE STUDY OF SECONDLANGUAGE VOCABULARY ACQUISITION

Evidence from ESL Reading

Published online by Cambridge University Press:  01 September 1997

Kees de Bot
Affiliation:
University of Nijmegen
T. Sima Paribakht
Affiliation:
University of Ottawa
Marjorie Bingham Wesche
Affiliation:
University of Ottawa

Abstract

A major requirement for theory development in L2 vocabulary acquisition is an adequate model of L2 lexical organization and processing. At present, there is no widely accepted model of this kind, but recent research has demonstrated the potential usefulness of Levelt's (1989, 1993) L1 speech processing model (de Bot & Schreuder, 1993; Green, 1993; Poulisse, 1993). This paper explores the relevance of the model as adapted for L2 lexical processing of written texts, with particular attention to its mental lexicon components (concepts, lemmas, and lexemes) and organization. The model is first discussed in terms of its relevance to L2 lexical access, retrieval, and acquisition processes. Findings of an introspective L2 vocabulary study follow, detailing how university ESL learners reported dealing with unfamiliar words while carrying out L2 reading tasks. The information provided on their lexical inferencing strategy and varied knowledge sources used in the process provide support for the lexical components and organization proposed by Levelt. It is argued in this paper that the process of inferring the features of unknown words in a reading passage can be described in terms of lemma construction, as defined in the model.

Type
Research Article
Copyright
1997 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

An earlier version of this paper was presented at the AAAL '95 Conference, Long Beach, CA, March 25–28.