Abstract

Deaf or hard-of-hearing individuals usually face a greater challenge to learn to write than their normal-hearing counterparts. Due to the limitations of traditional research methods focusing on microscopic linguistic features, a holistic characterization of the writing linguistic features of these language users is lacking. This study attempts to fill this gap by adopting the methodology of linguistic complex networks. Two syntactic dependency networks are built in order to compare the macroscopic linguistic features of deaf or hard-of-hearing students and those of their normal-hearing peers. One is transformed from a treebank of writing produced by Chinese deaf or hard-of-hearing students, and the other from a treebank of writing produced by their Chinese normal-hearing counterparts. Two major findings are obtained through comparison of the statistical features of the two networks. On the one hand, both linguistic networks display small-world and scale-free network structures, but the network of the normal-hearing students' exhibits a more power-law-like degree distribution. Relevant network measures show significant differences between the two linguistic networks. On the other hand, deaf or hard-of-hearing students tend to have a lower language proficiency level in both syntactic and lexical aspects. The rigid use of function words and a lower vocabulary richness of the deaf or hard-of-hearing students may partially account for the observed differences.

Highlights

  • Humans acquire language in a diverse set of circumstances

  • deaf or hard-of-hearing (DHH) students appropriate for our comparative study must meet all of the following criteria: (1) they suffer from a severe and complete deafness, but no other physiological defects; (2) their ages range from 10 to 15 years old; (3) they have a normal level of intelligence; (4) their Chinese proficiency is at middle level or above; (5) their parents are both deaf individuals; (6) they only use sign language to communicate

  • Their cumulative degree distributions are fitted by a linear power law with the slope of −1.24 for the DHH network, and −1.297 for the NH network

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Summary

INTRODUCTION

Humans acquire language in a diverse set of circumstances. Normal-hearing (NH) individuals first learn a spoken language, which is followed by reading and writing. Complex network approach is introduced and used in this study This new research approach provides opportunities to investigate language systems from a macroscopic perspective, which is a necessary complement to the wealth of findings concerning the micro structure of human language (Cong and Liu, 2014). With the complex network approach, a comparative study of the syntactic sub-systems of Chinese DHH students and their NH peers is conducted. Question 2 is trying to discover the specific differences of the two networks and relevant underlying linguistic implications in terms of writing These two questions will help to understand the macroscopic features of the syntactic sub-system of DHH students’ Chinese writing; and further, the overall discrepancies of linguistic competence of writing between the two groups.

MATERIALS AND METHODS
Background
RESULTS
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