Trilingual spoken word recognition : Interlingual competition from one or two non-target languages in a sentence context

Detta är en Magister-uppsats från Stockholms universitet/Centrum för tvåspråkighetsforskning

Sammanfattning: Persistent non-target language co-activation in spoken and visual language comprehension has been found both at the word-level and at the level of a sentence, although in the latter case, sentence bias has been observed to modulate the co-activation which can create lexical competition. In the case of trilingual speakers, both non-target languages may potentially compete with the third language (L3). The current study aimed to investigate how cross-linguistic (or interlingual) competition across three languages is modulated by sentence bias while listening to the L3. Of particular interest was whether top-down sentential information would modulate not only single but also double bottom-up driven cross-linguistic competition.  A picture-word recognition task was given to 44 L1 Russian L2 English late L3 Swedish learners, listening to Swedish sentences online while their reaction times and accuracy were collected. The results revealed shorter processing times and higher accuracy for high- compared to low-constraint sentences and overall lower accuracy (and slower reactions in high-constraint sentences) when an L1 Russian competitor’s translation phonological onset overlapped with a Swedish target word. The findings suggest that when trilinguals were processing their L3 speech, top-down information from the sentential context did not modulate the bottom-up guided L1 phonological competition. However, the effect of an L2 English L3 Swedish cognate competitor was not significant. This pattern of results is in line with BLINCS (Shook & Marian, 2013), which assumes gradual co-activation decay (i.e., a strong cross-linguistic competition effect might be observed in the end-course reaction times) and a direct visual information influence on linguistic processing. It is, however, inconsistent with the BIA+ model (Dijkstra and Van Heuven, 2002), which predicts that a high-constraint sentence context can modulate cross-linguistic competition, particularly, at later processing stages. 

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