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Modelling Bilingual Representation and Processing The bilingual's ability to process several languages almost simultaneously and overcome the conflicts across languages is striking. The main topic of interest here is how a non-target language affects target word identification under various experimental circumstances. In this research, empirical investigation and computer simulation go hand in hand. To account for collected empirical data, several models of bilingual representation and processing have been developed. This essay will examine the Bilingual Interactive Activation (BIA) model which simulates orthographic level of representation, the Distributed Feature Model (DFM) which specifies the semantics (i.e., meaning) of isolated words, and the Revised Hierarchical Model (RHM) which accounts for the interlanguage connections between lexicon and concepts/semantics as a function of L2 learners' proficiency. The strengths and weaknesses of these three models will be evaluated on an empirical stand and the author argues that a comprehensive model (e.g., BIA+ model) is needed...

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