5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

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

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references36

          • Record: found
          • Abstract: not found
          • Article: not found

          An interactive activation model of context effects in letter perception: I. An account of basic findings.

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            DRC: A dual route cascaded model of visual word recognition and reading aloud.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Orthographic processing in visual word recognition: a multiple read-out model.

              A model of orthographic processing is described that postulates read-out from different information dimensions, determined by variable response criteria set on these dimensions. Performance in a perceptual identification task is simulated as the percentage of trials on which a noisy criterion set on the dimension of single word detector activity is reached. Two additional criteria set on the dimensions of total lexical activity and time from stimulus onset are hypothesized to be operational in the lexical decision task. These additional criteria flexibly adjust to changes in stimulus material and task demands, thus accounting for strategic influences on performance in this task. The model unifies results obtained in response-limited and data-limited paradigms and helps resolve a number of inconsistencies in the experimental literature that cannot be accommodated by other current models of visual word recognition.
                Bookmark

                Author and article information

                Journal
                Bilingualism: Language and Cognition
                Bilingualism
                Cambridge University Press (CUP)
                1366-7289
                1469-1841
                July 06 2018
                : 1-23
                Article
                10.1017/S1366728918000287
                52ad65df-c2ed-4db1-b21b-18128e5f3951
                © 2018

                https://www.cambridge.org/core/terms

                History

                Comments

                Comment on this article