Back to Search
Start Over
Preverbal syntactic complexity leads to local coherence effects.
- Source :
- Language, Cognition & Neuroscience; Apr2023, Vol. 38 Issue 3, p359-389, 31p
- Publication Year :
- 2023
-
Abstract
- The effective use of preverbal linguistic cues to make successful clause-final verbal prediction as well as robust maintenance of such predictions has been argued to be a cross-linguistic generalisation for SOV languages such as German and Japanese. In this paper, we show that native speakers of Hindi (an SOV language) falter in forming a clause-final structure in the presence of a centre-embedded relative clause with a non-canonical word order. In particular, the fallibility of the parser is illustrated by the formation of a grammatically illicit locally coherent parse during online processing. Such a parse should not be formed if the grammatically licit matrix clause final structure was being successfully formed. The formation of a locally coherent parse is further illustrated by probing various syntactic dependencies via targeted questions. We show that the parser's susceptibility to form such structures is not driven by top-down processing, rather the effect can only be explained through a bottom-up parsing approach. Further, our investigation suggests that while plausibility is essential, presence of overt agreement features might not be necessary for forming a locally coherent parse in Hindi. These results go against top-down proposals to local coherence such as lossy surprisal and are consistent with the good-enough processing model to comprehension while only partially supporting the SOPARSE account. The work highlights how top-down processing and bottom-up information interact during sentence comprehension in SOV languages – prediction suffers with increased complexity of the preverbal linguistic environment. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 23273798
- Volume :
- 38
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Language, Cognition & Neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 162841149
- Full Text :
- https://doi.org/10.1080/23273798.2022.2118797