نتایج جستجو برای: politeness and phonetic features
تعداد نتایج: 16864329 فیلتر نتایج به سال:
Previous studies on the Politeness Effect show that using politeness strategies in tutorial feedback can have a positive impact on learning (McLaren et al. 2010; Wang and Johnson 2008; Wang et al. 2005). While prior research efforts tried to uncover the mechanism through which the politeness strategies impact the learner, the results were inconclusive. Further, it is unclear how the politeness ...
this study examined naturally-occurring university classroom interactions at iranian universities and provided an analysis of silence patterns as politeness strategies used by male and female students. since empirical studies of silence in classroom settings are scarce, this paper aimed to explain such phenomena using participant interviews, classroom observation and detailed discourse analysis...
In this paper we investigate named entity transliteration based on a phonetic scoring method. The phonetic method is computed using phonetic features and carefully designed pseudo features. The proposed method is tested with four languages – Arabic, Chinese, Hindi and Korean – and one source language – English, using comparable corpora. The proposed method is developed from the phonetic method ...
Every language may have some entities which may not be owned by another language. The uniqueness of a language is strongly influenced by the culture of its native speakers. Therefore, languages vary cross-culturally. I strongly believe that the way the Javanese people (one of the Indonesian ethnic groups) express politeness is also influenced by the Javanese culture. This article tries to exami...
This paper aims to cast light on the somewhat neglected area of mock politeness. The principle objectives are to describe the ways that mock politeness is talked about and performed. In order to investigate such usage, I analyse data from informal, naturally occurring conversations in a UK-based online forum. The paper introduces a range of metalinguistic expressions which are used to refer to ...
This paper describes a model of politeness between intentional agents developed from sociolinguistic observations of human-human interactions (Brown and Levinson, 1987) and suggests a method for applying it to human-machine interactions. Applications in the context of a medication reminder system are presented including data which suggest that the Brown and Levinson model provides good predicti...
During speech perception, linguistic elements such as consonants and vowels are extracted from a complex acoustic speech signal. The superior temporal gyrus (STG) participates in high-order auditory processing of speech, but how it encodes phonetic information is poorly understood. We used high-density direct cortical surface recordings in humans while they listened to natural, continuous speec...
Patterns of Politeness in Teacher-Student Interaction: Investigating an Academic Context AbstractThis study investigated politeness strategies used in instructor-student relationships, in an academic environment. To conduct the study, four university classes with different instructors were randomly selected, observed and analyzed. Brown and Levinson’s theory of politeness was drawn on as the an...
A method for learning phonetic features from speech data using connectionist networks is described. A temporal flow model is introduced in which sampled speech data flows through a parallel network from input to output units. The network uses hidden units with recurrent links to capture spectral/temporal characteristics of phonetic features. A supervised learning algorithm is presented which pe...
Non-competitive and non-threatening aspects of social hierarchy, such as politeness, are universal among human cultures, and might have evolved from ritualized submission in primates; however, these behaviors have rarely been studied. Honorific language is a type of polite linguistic communication that plays an important role in human social interactions ranging from everyday conversation to in...
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