摘要
中山大学中文系神经语言学教学实验室面向语言障碍筛查开发的汉语儿童言语交际水平评估系统,以一套固定程序作为引导,能在短时间内快速采集儿童的言语数据。基于这个评估范式,实验室采集了大量2~14岁儿童言语交际过程中的言语数据,从语音、能产性、流畅度、语法、语义、逻辑六大语言维度出发,细分为16项指标对语料进行人工标注和机器识别,建立起一个应用于语言能力评估和语言障碍筛查的汉语儿童言语数据库,可以精准评估汉语儿童的言语交际水平。目前该语料库储存了966名汉语儿童的言语数据,并对638名儿童的语料进行了标注。该语料库可以对儿童语言障碍的智能化筛查提供机器学习训练数据,也可以为研究汉语儿童语言习得和各类儿童语言障碍提供数据资源支持。
Abstract
Language is an indispensable communication tool for human beings, and language ability is an essential skill that children must acquire in their development. Oriented to the language disorders in Chinese-speaking children, an evaluation system has been developed by the Neurolinguistics teaching laboratory at Sun Yat-sen University to measure Chinese children’s speech communication ability and screen language-related disabilities. Using a fixed procedure as a guide, the system can collect children’s speech communication data in a very short time. Based on this evaluation paradigm, a speech corpus of Chinese-speaking children for language disorder screening was established, and up to now data of 996 children aged between 2-14 have been collected. The data are evaluated from six linguistic aspects (including phonology, productivity, fluency, grammar, semantics, and logic) with 16 indicators recognized by both manual annotation and machine recognition. Currently, the data of 638 Chinese-speaking children have been processed and annotated. Such a corpus can offer an affluent training set for automatic screening of children’s language disorders, and provide resource for studies on language acquisition and language disorders.
关键词
儿童语言障碍 /
语言评估 /
言语交际 /
数据库 /
语料库
Key words
Children’s language disorder /
language evaluation /
speech communication /
data base /
corpus
陆 烁,丘国新,钱思宇,高乐妍.
面向语言障碍筛查的汉语儿童言语交际水平评估系统研发[J]. 语言战略研究. 2021, 6(6): 45-58 https://doi.org/10.19689/j.cnki.cn10-1361/h.20210604
Lu Shuo, Qiu Guoxin, Qian Siyu and Gao Leyan.
Developing a Speech Communication Ability Evaluation System for Screening Language Disorders in Chinese-Speaking Children[J]. Chinese Journal of Language Policy and Planning. 2021, 6(6): 45-58 https://doi.org/10.19689/j.cnki.cn10-1361/h.20210604
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