Department of Communication Sciences and Disorders, Mail Stop #668, East Carolina University, Greenville, NC 27858-4353, USA.
Lang Speech Hear Serv Sch. 2010 Jan;41(1):84-95. doi: 10.1044/0161-1461(2009/08-0075).
Over the past 50 years, language sample analysis (LSA) has evolved from a powerful research tool that is used to document children's linguistic development into a powerful clinical tool that is used to identify and describe the language skills of children with language impairment. The The Systematic Analysis of Language Transcripts (SALT; J. F. Miller & A. Iglesias, 2008) Software Project has developed several databases of language samples from more than 6,000 typical speakers. This article presents an overview of the SALT databases and then demonstrates the power of these databases in classifying children with language impairment.
Conversational language samples were elicited from 244 children with language impairment who were between 3 and 13 years of age. Language production measures generated from these transcripts were compared to measures from 244 transcripts in the SALT conversational database. A series of discriminant function analyses were completed to document the sensitivity and specificity of the language sample measures.
The language sample measures were effective in classifying children based on their language status, with correct identification of 78% of the children with language impairment and 85% of the children who were typically developing.
The SALT databases provide a useful tool for the clinical management of children with language impairment.
在过去的 50 年中，语言样本分析（LSA）已经从用于记录儿童语言发展的强大研究工具演变为用于识别和描述语言障碍儿童语言技能的强大临床工具。语言转录系统分析（SALT；J. F. Miller 和 A. Iglesias，2008）软件项目已经从 6000 多名典型说话者那里开发了几个语言样本数据库。本文概述了 SALT 数据库，然后展示了这些数据库在对语言障碍儿童进行分类方面的强大功能。
从 244 名年龄在 3 至 13 岁之间的语言障碍儿童中引出会话语言样本。从这些记录中生成的语言产生措施与 SALT 会话数据库中的 244 个记录中的措施进行了比较。完成了一系列判别函数分析，以记录语言样本措施的敏感性和特异性。
语言样本措施能够有效地根据儿童的语言状况进行分类，正确识别 78%的语言障碍儿童和 85%的正常发育儿童。
SALT 数据库为语言障碍儿童的临床管理提供了有用的工具。
