نتایج جستجو برای: meta linguistic feedback

تعداد نتایج: 359208  

Journal: :Information & Software Technology 2013
Owen Eriksson Brian Henderson-Sellers Pär J. Ågerfalk

Context: Although metamodelling is generally accepted as important for our understanding of software and systems development, arguments about the validity and utility of ontological versus linguistic meta-

2015
Laurent Prévot Jan Gorisch Sankar Mukherjee

Feedback utterances are among the most frequent in dialogue. Feedback is also a crucial aspect of all linguistic theories that take social interaction involving language into account. However, determining communicative functions is a notoriously difficult task both for human interpreters and systems. It involves an interpretative process that integrates various sources of information. Existing ...

Journal: :J. Semantics 1992
Jens Allwood Joakim Nivre Elisabeth Ahlsén

This paper is an exploration in the semantics and pragmatics of linguistic feedback, i.e., linguistic mechanisms which enable the participants in spoken interaction to exchange information about basic communicative functions, such as contact, perception, understanding, and attitudinal reactions to the communicated content. Special attention is given to the type of reaction conveyed by feedback ...

2012
Francesco Berto

Meta-ontology (in van Inwagen's sense) concerns the methodology of ontology, and a controversial meta-ontological issue is to what extent ontology can rely on linguistic analysis while establishing the furniture of the world. This paper discusses an argument advanced by some ontologists (I call them unifiers) against supporters of or coincident entities (I call them multipliers) and its meta-on...

Journal: :SAGE Open 2023

Written corrective feedback (WCF) in enhancing writing proficiency has been the subject of numerous studies, but few studies have examined students’ perceptions about value on their written errors. Language teachers use global tools and techniques to give students work. How is delivered received by valued differently. The current study concentrated how interpret which WCF tactics they favor cla...

Journal: :MESSENGER OF KYIV NATIONAL LINGUISTIC UNIVERSITY. Series Philology 2018

Journal: :International Journal of Computer Applications 2020

Journal: :Arkus 2023

As AI technology develops, we can expect to see more innovative and effective language-learning tools emerge in the future. These have potential revolutionize way learn languages, making them accessible enjoyable for learners of all ages abilities. AI-powered language learning give access a variety resources, such as dictionaries, grammar guides, sample texts. It helps broaden their knowledge i...

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