COMPUTATIONAL ANALYSIS OF TRAJECTORIES OF LINGUISTIC DEVELOPMENT IN AUTISM.
COMPUTATIONAL ANALYSIS OF TRAJECTORIES OF LINGUISTIC DEVELOPMENT IN AUTISM.
复制标题
自闭症语言发展轨迹的计算分析。
DOI：
10.1109/slt.2014.7078585
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
DeLaHunta,Rachel
中科院分区：
文献类型：
--
作者：
Prud'hommeaux,Emily;Morley,Eric;Rouhizadeh,Masoud;Silverman,Laura;vanSanten,Jan;Roark,Brian;Sproat,Richard;Kauper,Sarah;DeLaHunta,Rachel
语义和语用表达的缺陷是自闭症的标志性语言特征之一。最近在临床口语测量的计算相关性方面的工作已经证明了自动语言分析在描述自闭症儿童语言特征方面的实用性。然而，大多数研究都集中在仍在学习语言的幼儿身上，或者集中在覆盖广泛年龄范围的小群体身上。在本文中，我们从两组自闭症儿童和非自闭症儿童在两个狭窄的年龄范围内所产生的叙述中提取了许多语言特征。我们发现，尽管诊断组之间的许多差异随着年龄的增长而保持不变，但某些实用措施，特别是保持主题和避免离题的能力，似乎有所改善。这些结果证实了心理学文献中报道的发现，同时强调在进行临床导向的口语计算分析时，需要仔细考虑被调查人群的年龄范围。
Deficits in semantic and pragmatic expression are among the hallmark linguistic features of autism. Recent work in deriving computational correlates of clinical spoken language measures has demonstrated the utility of automated linguistic analysis for characterizing the language of children with autism. Most of this research, however, has focused either on young children still acquiring language or on small populations covering a wide age range. In this paper, we extract numerous linguistic features from narratives produced by two groups of children with and without autism from two narrow age ranges. We find that although many differences between diagnostic groups remain constant with age, certain pragmatic measures, particularly the ability to remain on topic and avoid digressions, seem to improve. These results confirm findings reported in the psychology literature while underscoring the need for careful consideration of the age range of the population under investigation when performing clinically oriented computational analysis of spoken language.