不同话语类型影响词汇多样性和词类分布:基于普通话失语库平台的常人研究

Different lexical diversities and word category distributions in different discourse types: a pilot study with mandarin-control set in AphasiaBank

目的:初步构建普通话失语库常人数据集,探讨其中不同话语类型的言语产出。方法:根据国际失语库测试标准,采集30例健康人在不同任务类型中的多媒体话语材料,采用CLAN软件进行转录、编码和校验,并对不同话语类型的词汇多样性及词类分布进行统计分析。结果:命题故事的词汇多样性显著高于组图叙事和单图描述;三种话语类型的词类均以动词产出量最多,其次是名词;不同的话语类型具有不同的词类分布模式。结论:话语类型能影响健康人话语的词汇多样性和词类分布,据此可为言语障碍患者在会话水平的评估和干预提供指导。

Objective: To explore the speech performance for different discourse types by establishing a control group set for mandarin in AphasiaBank.Method: According to the established standard protocol of AphasiaBank, multi-media samples across different discourse types from thirty cognitively healthy adults were collected. Language samples were then transcribed,coded and checked by using CLAN. Lexical diversities and word category distributions across different discourse types were then analyzed.Result: Across discourse types, the highest lexical diversity was found for story narrative compared to the other two types of sequential pictures and single picture description. All three tasks had the most output of verbs,followed by nouns. Different discourse types had different distribution patterns of word categories.Conclusion: Discourse type influences lexical diversities and word category distributions in cognitively healthy adults. These findings make it possible to assess and treat patients with language disorders at discourse level.