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date: 14 December 2019

Abstract and Keywords

Sentence production involves the complex interaction of meanings, words, and structures. These interactions are language-specific and to understand them, it is useful to build computational models of production that learn their internal representations. This chapter explores how a particular connectionist-learning model called the Dual-path model explains a range of sentence production behaviors, such as structural priming, heavy NP shift, and lexical-conceptual accessibility in structural choice. The model shows how learning can play an important role in explaining adult processing in different languages. This model is contrasted with other computational approaches to understand the strengths and weakness of each method.

Keywords: sentence processing, connectionism, incremental production, learning, structural priming

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