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Identifying Social and Expressive Factors in Request Texts Using Transaction/Sequence Model

机译:使用事务/顺序模型识别请求文本中的社交和表达因素

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The paper focuses on requests in written forms, where we describe a novel approach to computational modelling of specific features of politeness in speech act of requesting. We examine the similarities and differences in the use of specific social and expressive factors in two languages (mother tongue and a foreign language). The requests collected from different social situations among students and their teachers in a university environment were used as data source for a research. Transaction/Sequence model for text representation was formulated and association rules analysis was applied as a research method. The findings are interesting mainly in terms of differences in the use of politeness features in foreign language and mother tongue. The results indicated that the requests written in mother tongue are less direct than in foreign language.
机译:本文着重于书面形式的请求,在此我们描述了一种新颖的方法,用于对请求的言语行为中礼貌的特定特征进行计算建模。我们研究了两种语言(母语和外语)在使用特定社交和表达因素时的异同。在大学环境中,从学生及其老师的不同社会环境中收集到的请求被用作研究的数据源。建立了文本表示的事务/顺序模型,并应用关联规则分析作为研究方法。这些发现主要是在外语和母语的礼貌特征使用方面存在差异,这很有趣。结果表明,用母语写的请求比用外语写的请求少。

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