Suppr超能文献

深入了解平均语句长度:它究竟衡量的是什么?

A closer look at MLU: what does it really measure?

作者信息

Dethorne Laura S, Johnson Bonnie W, Loeb Jane W

机构信息

Pennsylvania State University, University Park, Pennsylvania 16802-3100, USA.

出版信息

Clin Linguist Phon. 2005 Dec;19(8):635-48. doi: 10.1080/02699200410001716165.

Abstract

Despite the common use of mean length of utterance (MLU) as a diagnostic measure, what it actually reflects in terms of linguistic knowledge is relatively unclear. This study explored the extent to which variance in MLU could be accounted for by a measure of expressive vocabulary and a measure of morphosyntax in a group of 44 typically-developing children, ages 28-37 months. Regression techniques were employed to predict MLU from number of different words (NDW) and a tense accuracy composite (TAC). Depending on whether the variable was acting alone or in concert with the other, TAC accounted for 23% or none of the variance in MLU, while NDW accounted for 51% or 28%. We offer three potential explanations for the observed association between MLU and NDW, none of which necessarily precludes the others.

摘要

尽管平均语句长度(MLU)作为一种诊断指标被广泛使用,但它在语言知识方面实际反映的内容相对不明确。本研究探讨了在一组44名年龄在28至37个月的发育正常儿童中,表达性词汇量指标和形态句法指标能够在多大程度上解释MLU的差异。采用回归技术,根据不同单词数量(NDW)和时态准确性综合指标(TAC)来预测MLU。根据变量是单独起作用还是与另一个变量共同起作用,TAC分别解释了MLU差异的23%或未解释任何差异,而NDW分别解释了51%或28%。我们针对观察到的MLU与NDW之间的关联提出了三种可能的解释,其中任何一种解释都不一定排除其他解释。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验