Gene

Linguistics

Philosophy

Neuroscience

Messenger RNA

Connectionism

Word recognition

Cognition

Lexical decision task

Biochemistry

Computer science

Translation (biology)

Natural language processing

Reading (process)

Psychology

Artificial intelligence

Chemistry

Artificial neural network

Word (group theory)

Speech recognition

Bilingualism Language and Cognition

The computational BIA+ model (Dijkstra &amp;amp; Van Heuven, 2002) has provided a useful account for bilingual word recognition, while the verbal (pre-quantitative) RHM (Kroll &amp;amp; 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.

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