نتایج جستجو برای: pragmatic features

تعداد نتایج: 542011  

Journal: :Journal of Clinical Epidemiology 2009

Investigating transfer of one’s pragmatic knowledge of first language to his second or foreign language has been one of the areas of interest for researchers. However, there are contradictory results even within the scarce studies which have addressed transferability. This study was an attempt to investigate perceived pragmatic transferability of L1 refusal strategies by Persian EFL learners. S...

Journal: :journal of language and translation 0
abdollah baradaran islamic azad university, central tehran branch fatemeh hashemifar islamic azad university, central tehran branch

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2013
Stefan Benus

Entrainment is the tendency for participants in conversations to develop behaviour similar to one another in multiple dimensions. The degree of such entrainment is linked to the emotional state and empathy of the speakers and people who entrain to their conversational partners are seen as more socially attractive, likeable, competent, more intimate, and the interactions with such partners as mo...

1998
Yannis Smaragdakis Don Batory

Combinations of C++ features, like inheritance, templates, and class nesting, allow for the expression of powerful component patterns. In particular, research has demonstrated that, using C++ mixin classes, one can express layered component-based designs concisely with efficient implementations. In this paper, we discuss pragmatic issues related to component-based programming using C++ mixins. ...

2000
Yannis Smaragdakis Don S. Batory

Combinations of C++ features, like inheritance, templates, and class nesting, allow for the expression of powerful component patterns. In particular, research has demonstrated that, using C++ mixin classes, one can express layered component-based designs concisely with efficient implementations. In this paper, we discuss pragmatic issues related to component-based programming using C++ mixins. ...

2004
Michel Galley Kathleen McKeown Julia Hirschberg Elizabeth Shriberg

We describe a statistical approach for modeling agreements and disagreements in conversational interaction. Our approach first identifies adjacency pairs using maximum entropy ranking based on a set of lexical, durational, and structural features that look both forward and backward in the discourse. We then classify utterances as agreement or disagreement using these adjacency pairs and feature...

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