This study attempts to investigate politeness strategies and politeness markers in email-request sent byIranian male and female EFL learners to professors. The comparison between strategies used by malesand females in email-request were also analyzed. 52 actual emails of M.A students of TEFL studying atAzad University consisted the data in this research. To analyze the corpus, politeness strate...

We propose a computational framework for identifying linguistic aspects of politeness. Our starting point is a new corpus of requests annotated for politeness, which we use to evaluate aspects of politeness theory and to uncover new interactions between politeness markers and context. These findings guide our construction of a classifier with domain-independent lexical and syntactic features op...

Our long-term goal is to contribute to the integration of formal and lexical semantics. Our more immediate theoretical starting point is the idea of “text as theory”, within a model-theoretic semantic framework. We describe a set of empirical problems in the domain of genitive modifiers which offer a challenge to theories of the integration of lexical, compositional, and contextual information....

The automatic recognition of user’s communicative style within a spoken dialog system framework, including the affective aspects, has received increased attention in the past few years. For dialog systems, it is important to know not only what was said but also how something was communicated, so that the system can engage the user in a richer and more natural interaction. This paper addresses t...

Ideology, power, and identity are truly reflected in people’s daily discourse including mark negotiation discourse of students. Peculiar power relations in Iranian academic settings and the unique features of politeness in Farsi extending up to Ta’arof motivated the researcher to statistically analyze a total of 50 mark negotiation discourse samples of Iranian university students from diverse d...

Automatic classification of dialogues between clients and a service center needs a preliminary dialogue parameterization. Such a parameterization is usually faced with essential difficulties when we deal with politeness, competence, satisfaction, and other similar characteristics of clients. In the paper, we show how to avoid these difficulties using empirical formulae based on lexical-grammati...

Prior work has shown that a robot which uses politeness modifiers in its speech is perceived more favorably by human interactants, as compared to a robot using more direct instructions. However, the findings to-date have been based soley on data aquired from the standard university pool, which may introduce biases into the results. Moreover, the work does not take into account the potential mod...

Emotion recognition algorithms for spoken dialogue applications typically employ lexical models that are trained on labeled in-domain data. In this paper, we propose a domainindependent approach to affective text modeling that is based on the creation of an affective lexicon. Starting from a small set of manually annotated seed words, continuous valence ratings for new words are estimated using...

In their criticisms of traditional theories politeness, Watts et al. (2005 [1992]) and Eelen (2001) call for first-order approaches to (im)politeness. While ‘discursive approach’ has faced its own criticisms, one useful strand which emerged from this research is a focus on how (im)politeness evaluated discussed. However, compared other (im)politeness, such language received little attention. St...