Conversation level syntax similarity metric

被引:11
作者
Boghrati, Reihane [1 ]
Hoover, Joe [2 ]
Johnson, Kate M. [2 ]
Garten, Justin [1 ]
Dehghani, Morteza [1 ,2 ]
机构
[1] Univ Southern Calif, Dept Comp Sci, 3620 S McClintock Ave, Los Angeles, CA 90089 USA
[2] Univ Southern Calif, Dept Psychol, 3620 S McClintock Ave, Los Angeles, CA 90089 USA
基金
美国国家科学基金会;
关键词
Syntax similarity; Linguistic style matching; Communication accommodation theory; Social media; Text analysis; Syntax priming; LEARNERS PRODUCTION; LANGUAGE USE; ALIGNMENT; MIMICRY; TEXT; CONSEQUENCES; SELF; SEX;
D O I
10.3758/s13428-017-0926-2
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
The syntax and semantics of human language can illuminate many individual psychological differences and important dimensions of social interaction. Accordingly, psychological and psycholinguistic research has begun incorporating sophisticated representations of semantic content to better understand the connection between word choice and psychological processes. In this work we introduce ConversAtion level Syntax SImilarity Metric (CASSIM), a novel method for calculating conversation-level syntax similarity. CASSIM estimates the syntax similarity between conversations by automatically generating syntactical representations of the sentences in conversation, estimating the structural differences between them, and calculating an optimized estimate of the conversation-level syntax similarity. After introducing and explaining this method, we report results from two method validation experiments (Study 1) and conduct a series of analyses with CASSIM to investigate syntax accommodation in social media discourse (Study 2). We run the same experiments using two well-known existing syntactic metrics, LSM and Coh-Metrix, and compare their results to CASSIM. Overall, our results indicate that CASSIM is able to reliably measure syntax similarity and to provide robust evidence of syntax accommodation within social media discourse.
引用
收藏
页码:1055 / 1073
页数:19
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