Dual Mechanism Priming Effects in Hindi Word Order
This work addresses a specific linguistic problem for cognitive science researchers, but it is incremental as it builds on existing priming theories.
The study tackled the problem of understanding word order priming in Hindi by testing the dual mechanism hypothesis, finding that lexical and syntactic priming affect complementary verb classes, supporting multiple cognitive mechanisms.
Word order choices during sentence production can be primed by preceding sentences. In this work, we test the DUAL MECHANISM hypothesis that priming is driven by multiple different sources. Using a Hindi corpus of text productions, we model lexical priming with an n-gram cache model and we capture more abstract syntactic priming with an adaptive neural language model. We permute the preverbal constituents of corpus sentences, and then use a logistic regression model to predict which sentences actually occurred in the corpus against artificially generated meaning-equivalent variants. Our results indicate that lexical priming and lexically-independent syntactic priming affect complementary sets of verb classes. By showing that different priming influences are separable from one another, our results support the hypothesis that multiple different cognitive mechanisms underlie priming.