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Language Value, 2018 From the Editors MULTIMODAL MEANS OF INSTRUCTION: BROADENING ACADEMIC LITERACIES AND PRACTICES Departing from the concept of multimodality as “a field of application rather than a theory” (Bezemer and Jewitt 2010: 180), the current volume aims at ...
Language Value
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The use of email as a component of adult stammering therapy : a preliminary report [PDF]
, 2011 In West Glasgow email has evolved from a rapid means of arranging therapy appointments with adults who stammer into a medium for exchange of therapeutic messages with some clients.
Bolton G +4 more
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Stan: A Probabilistic Programming Language.
Journal of Statistical Software, 2017 Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants.
Bob Carpenter +9 more
semanticscholar +1 more source
A Visual Language for Web Querying and Reasoning [PDF]
, 2003 As XML is increasingly being used to represent information on the Web, query and reasoning languages for such data are needed. This article argues that in contrast to the navigational approach taken in particular by XPath and XQuery, a positional ...
A Visual Language For +4 more
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Preface in memoriam of Raquel Segovia Martín
Language Value, 2021 This is the fourteenth issue of Language Value, the journal created by the Department of English Studies at Universitat Jaume I (UJI) over 12 years ago.
Language Value
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Impact of inclusive education on improving the quality of life of totally blind students [PDF]
SHS Web of Conferences, 2021 The desire of contemporary society to improve the quality of life through the organization of wider access to education for people with disabilities raises several issues concerning the conditions for organizing inclusive education.
Klimentyeva Viktoriya +4 more
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Transfer Language Selection for Zero-Shot Cross-Lingual Abusive Language Detection [PDF]
Information Processing & Management, Volume 59, Issue 4, July
2022, paper ID: 102981, 2022 We study the selection of transfer languages for automatic abusive language detection. Instead of preparing a dataset for every language, we demonstrate the effectiveness of cross-lingual transfer learning for zero-shot abusive language detection. This way we can use existing data from higher-resource languages to build better detection systems for low-
arxiv +1 more source