Sentence Processing in Monolingual and Bilingual Speakers

Abstract

The main goal of monolingual models of sentence processing is to explain how the syntactic processor (or parser) assigns structure to an incoming string of words. The theoretical divide in the field has been about whether the architecture and mechanisms of the human sentence processor are modular—and computations are carried out serially—or whether it is interactive and computations are carried out in parallel. The debate about bilingual sentence processing has, instead, focused on whether bilingual speakers process their second language in a manner similar to monolingual speakers of the target language. Proposals rooted in generative approaches to language acquisition argue that adult second language (L2) learners lack access to the universal principles or the ability to reset parameters that guide language acquisition and language processing in their L2. Models grounded in neurocognitive approaches to memory hold that late bilinguals recruit different memory systems compared to native speakers of the target language. Other models have argued that differences in first and second language processing result largely from capacity differences, differences in susceptibility to interference, or lack of predictive ability. More recently, several studies have turned toward more experience-driven accounts, eschewing the earlier assumption that the first language is static and unchanging, and instead focusing on the interactive and interconnected nature of the bilingual linguistic system. These studies have revealed that not only does the first language (L1) affect L2 syntactic processing, but experience with the L2 can have ramifications for processing in the native language. A range of experimental techniques are employed to investigate how monolingual and bilingual speakers process language at the sentence level. Eye-tracking techniques allow measurement of responses, such as eye movements and pupil dilation, to study written and auditory language processing. Such measures permit insight into the cognitive processes that are engaged when individuals read written text or inspect visual scenes. Electrophysiological measures are particularly helpful for understanding the time course of neural activity associated with language and cognitive processes. Event-related potentials (ERPs) are obtained by recording and averaging across brain potentials associated with time-locked events (e.g., a word in a sentence). Electrophysiological measures are used to determine which stages of processing are affected by the experimental manipulation. Neuroimaging provides information about changes in brain structure and function. For example, the functional magnetic resonance imaging (fMRI) technique can be used to visualize which brain regions are engaged in processing a particular type of sentence. Although neuroimaging is a relatively-new methodology, it holds great promise for increasing our understanding of the dynamic processes in the brain related to language. The writing of this bibliography was supported in part by National Science Foundation (NSF) grant BCS-1535124 and OISE 1545900 to Paola E. Dussias.