A corpus of Chinese word segmentation agreement

The absence of explicit word boundaries is a distinctive characteristic of Chinese script, setting it apart from most alphabetic scripts, leading to word boundary disagreement among readers. Previous studies have examined how this feature may influence reading performance. However, further investigations are required to generate more ecologically valid and generalizable findings. In order to advance our understanding of the impact of word boundaries in Chinese reading, we introduce the Chinese Word Segmentation Agreement (CWSA) corpus. This corpus consists of 500 sentences, comprising 9813 character tokens and 1590 character types, and provides data on word segmentation agreement at each character position. The data revealed a high level of overall segmentation agreement (92%). However, participants disagreed on the position of word boundaries in 8.96% of the cases. Moreover, about 85% of the sentences contained at least one ambiguous word boundary. The character strings with high levels of disagreement were tentatively classified into three categories, namely the morphosyntactic type (e.g., "-"), modifier-head type (e.g., "-"), and others (e.g., "-"). Finally, the agreement scores also significantly influenced reading behaviors, as evidenced by analyses with published eye movement data. Specifically, a high level of disagreement was associated with longer single fixation durations. We discuss the implications of these results and highlight how the CWSA corpus can facilitate future research on word segmentation in Chinese reading.

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Publication Details

Journal
Behavior Research Methods
Published
2024-12-28
DOI
https://doi.org/10.3758/s13428-024-02528-8
Citations
5
Primary Topic
Text Readability and Simplification
Type
article
Field-Weighted Citation Impact
1.74

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article

A corpus of Chinese word segmentation agreement

Jinger Pan, Eve Man Hin Chan, Yiu‐Kei Tsang, Ming Yan
5 citations
Behavior Research Methods
Text Readability and Simplification
1.74
article

A corpus of Chinese word segmentation agreement

Jinger Pan, Eve Man Hin Chan, Yiu‐Kei Tsang, Ming Yan
article en
5 citations

Abstract

The absence of explicit word boundaries is a distinctive characteristic of Chinese script, setting it apart from most alphabetic scripts, leading to word boundary disagreement among readers. Previous studies have examined how this feature may influence reading performance. However, further investigations are required to generate more ecologically valid and generalizable findings. In order to advance our understanding of the impact of word boundaries in Chinese reading, we introduce the Chinese Word Segmentation Agreement (CWSA) corpus. This corpus consists of 500 sentences, comprising 9813 character tokens and 1590 character types, and provides data on word segmentation agreement at each character position. The data revealed a high level of overall segmentation agreement (92%). However, participants disagreed on the position of word boundaries in 8.96% of the cases. Moreover, about 85% of the sentences contained at least one ambiguous word boundary. The character strings with high levels of disagreement were tentatively classified into three categories, namely the morphosyntactic type (e.g., "-"), modifier-head type (e.g., "-"), and others (e.g., "-"). Finally, the agreement scores also significantly influenced reading behaviors, as evidenced by analyses with published eye movement data. Specifically, a high level of disagreement was associated with longer single fixation durations. We discuss the implications of these results and highlight how the CWSA corpus can facilitate future research on word segmentation in Chinese reading.

Behavior Research MethodsVol. 57(1)
Hong Kong Baptist University (HK), University of Macau (MO), Education University of Hong Kong (HK)
Hong Kong Baptist University, Research Grants Council, University Grants Committee, Universidade de Macau
Quality Education
Openalex Percentile: Top 12%
Text Readability and Simplification
1.74
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