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Chapter 12. Parsing Chinese relative clauses with structural and non-structural cues

  • Zhong Chen und John Hale
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Abstract

This paper presents a word-by-word computational model of incremental processing difficulty in human sentence comprehension. In particular, it discusses the processing of Chinese relative clauses guided by both structural preferences and frequencies of non-structural features like animacy. The information-theoretic metric Entropy Reduction (Hale, 2003, 2006) mirrors the disambiguation effort which readers spend on each word and links theories of parsing to observed measurements in reading experiments, including the so-called animacy effect in psycholinguistic studies (Wu, Kaiser & Anderson 2012).

Abstract

This paper presents a word-by-word computational model of incremental processing difficulty in human sentence comprehension. In particular, it discusses the processing of Chinese relative clauses guided by both structural preferences and frequencies of non-structural features like animacy. The information-theoretic metric Entropy Reduction (Hale, 2003, 2006) mirrors the disambiguation effort which readers spend on each word and links theories of parsing to observed measurements in reading experiments, including the so-called animacy effect in psycholinguistic studies (Wu, Kaiser & Anderson 2012).

Heruntergeladen am 30.9.2025 von https://www.degruyterbrill.com/document/doi/10.1075/la.250.13che/html
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