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Semantic support and parallel parsing in Chinese.

Yufen Hsieh¹, Julie E Boland

¹Department of Applied Foreign Languages, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Da'an Dist., Taipei, 106, Taiwan, ROC, yfhsieh@mail.ntust.edu.tw.

Journal of Psycholinguistic Research

|April 12, 2014

Summary

This summary is machine-generated.

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Readers process ambiguous Chinese sentences by considering multiple interpretations in parallel, not selecting one immediately. Semantic cues influence processing difficulty at disambiguation points, supporting a constraint-based parsing model.

Area of Science:

Psycholinguistics
Computational Linguistics
Cognitive Science

Background:

Understanding sentence processing is key to psycholinguistics.
Ambiguity resolution in language comprehension remains a significant research area.
Previous models proposed serial or parallel processing of linguistic structures.

Purpose of the Study:

To investigate whether readers maintain multiple interpretations of ambiguous Chinese sentences.
To determine the role of semantic support in resolving syntactic ambiguity.
To test the predictions of a parallel constraint-based parsing mechanism.

Main Methods:

Two eye-tracking experiments using written Chinese sentences with multi-word ambiguous regions.
Manipulation of semantic support for complement clause (CC) and relative clause (RC) analyses.

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Analysis of reading times and processing difficulty at disambiguation points.

Main Results:

Processing difficulty was observed when sentences were disambiguated to the dispreferred CC interpretation.
Greater processing difficulty occurred when the relative clause (RC) interpretation had stronger semantic support.
Regression analyses confirmed that semantic support predicts processing difficulty.

Conclusions:

Findings support a parallel constraint-based parsing mechanism for sentence comprehension.
Readers maintain multiple interpretations of ambiguous constructions.
Semantic information plays a crucial role in guiding syntactic ambiguity resolution.