skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Multilink: a computational model for bilingual word recognition and word translation

Bilingualism (Cambridge, England), 2019-08, Vol.22 (4), p.657-679 [Peer Reviewed Journal]

Copyright © Cambridge University Press 2018 ;ISSN: 1366-7289 ;EISSN: 1469-1841 ;DOI: 10.1017/S1366728918000287

Full text available

Citations Cited by
  • Title:
    Multilink: a computational model for bilingual word recognition and word translation
  • Author: DIJKSTRA, TON ; WAHL, ALEXANDER ; BUYTENHUIJS, FRANKA ; VAN HALEM, NINO ; AL-JIBOURI, ZINA ; DE KORTE, MARCEL ; REKKÉ, STEVEN
  • Subjects: Bilingualism ; Cognates ; Comprehension ; Computer modeling and simulation ; Language ; Language proficiency ; Lexical semantics ; Monolingualism ; Naming ; Orthography ; Phonology ; Semantic processing ; Semantics ; Translation ; Word recognition
  • Is Part Of: Bilingualism (Cambridge, England), 2019-08, Vol.22 (4), p.657-679
  • Description: The computational BIA+ model (Dijkstra & Van Heuven, 2002) has provided a useful account for bilingual word recognition, while the verbal (pre-quantitative) RHM (Kroll & Stewart, 1994) has often served as a reference framework for bilingual word production and translation. According to Brysbaert and Duyck (2010), a strong need is felt for a unified implemented account of bilingual word comprehension, lexical-semantic processing, and word production. With this goal in mind, we built a localist-connectionist model, called Multilink, which integrates basic assumptions of both BIA+ and RHM. It simulates the recognition and production of cognates (form-similar translation equivalents) and non-cognates of different lengths and frequencies in tasks like monolingual and bilingual lexical decision, word naming, and word translation production. It also considers effects of lexical similarity, cognate status, relative L2-proficiency, and translation direction. Model-to-model comparisons show that Multilink provides higher correlations with empirical data than both IA and BIA+ models.
  • Publisher: Cambridge: Cambridge University Press
  • Language: English
  • Identifier: ISSN: 1366-7289
    EISSN: 1469-1841
    DOI: 10.1017/S1366728918000287
  • Source: ProQuest One Psychology
    ProQuest Central
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait