A Study on the Use of Indirect Speech Acts of Interrogative Sentences and Communicative Effectiveness in Chinese.

2021 ◽  
Vol 28 (4) ◽  
pp. 177-201
Author(s):  
Byumlyul Lee ◽  
2021 ◽  
Vol 66 (1) ◽  
pp. 144-165
Author(s):  
Fathi Migdadi ◽  
Muhammad A. Badarneh ◽  
Laila Khwaylih

Abstract This study examines Jordanian graduate students' complaints posted on a Facebook closed group and directed to the representatives of Student Union at Jordan University of Science and Technology to be transferred to the officials concerned. In line with Boxer (1993b), the study considers the students' complaints to be indirect speech acts, as the addressee(s) are not the source of the offense. Using a sample of 60 institutional complaining posts, the researchers have analysed the complaints in terms of their semantic formulas, politeness functions and correlations with the gender of the complainers. The students’ complaints are classified into six semantic formulas of which the act statement element is indispensable as the complaint is stated in it. The other five formulas, ordered according to their frequency, are opener, remedy, appreciative closing, justification and others. Despite the negative affect typically involved in the complaining act, the semantic formulas identified in this study are found to signal politeness and fit into Brown and Levinson’s (1987) pool of face-saving strategies rather than face-threatening acts. Specifically, when the graduate students direct their Facebook complaints to the students' representatives, they tend to offer camaraderie with them to be encouraged to pursue the problems specified in the complainers’ posts.


1988 ◽  
Vol 11 (1) ◽  
pp. 101-116 ◽  
Author(s):  
Raymond W. Gibbs ◽  
Rachel A. G. Mueller

2021 ◽  
pp. 52-63
Author(s):  
Т.В. Нестерова

В статье описаны контекстуально-ситуативные косвенные речевые акты, имеющие форму вопроса, но реализующие другие коммуникативные интенции – сообщение, согласие, побуждение, выражение эмоций. Речь идет о высказываниях с одинаковым синтаксическим строением и лексическим составом (омонимия высказываний разных коммуникативных типов), в которых наиболее ярко проявляются различительные свойства интонации. Механизмом порождения этих речевых актов является прагматическая транспозиция. The article describes contextual-situational indirect speech acts in the form of a question, but realizing other communicative intentions – message, consent, motivation, expression of emotions. We are talking about statements with the same syntactic structure and lexical composition (homonymy of statements of different communicative types), in which the distinctive properties of intonation are most clearly manifested. The mechanism for generating these speech acts is pragmatic transposition. The materials of the article can be used both for further theoretical studies of transposed speech acts (including in a comparative aspect), and for the creation of communicatively oriented textbooks on Russian as a foreign language.


Author(s):  
Ali W.Lafi

Direct and Indirect Speech Acts


2020 ◽  
Vol 34 (06) ◽  
pp. 10410-10417
Author(s):  
Ruchen Wen ◽  
Mohammed Aun Siddiqui ◽  
Tom Williams

For robots to successfully operate as members of human-robot teams, it is crucial for robots to correctly understand the intentions of their human teammates. This task is particularly difficult due to human sociocultural norms: for reasons of social courtesy (e.g., politeness), people rarely express their intentions directly, instead typically employing polite utterance forms such as Indirect Speech Acts (ISAs). It is thus critical for robots to be capable of inferring the intentions behind their teammates' utterances based on both their interaction context (including, e.g., social roles) and their knowledge of the sociocultural norms that are applicable within that context. This work builds off of previous research on understanding and generation of ISAs using Dempster-Shafer Theoretic Uncertain Logic, by showing how other recent work in Dempster-Shafer Theoretic rule learning can be used to learn appropriate uncertainty intervals for robots' representations of sociocultural politeness norms.


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