26,863 research outputs found

    Multilingual Information Framework for Handling textual data in Digital Media

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    This document presents MLIF (Multi Lingual Information Framework), a high-level model for describing multilingual data across a wide range of possible applications in the translation/localization process within several multimedia domains (e.g. broadcasting interactive programs within a multilingual community)

    Natural language processing

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    Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in this area since the last ARIST Chapter in 1996 (Haas, 1996), including: (i) natural language text processing systems - text summarization, information extraction, information retrieval, etc., including domain-specific applications; (ii) natural language interfaces; (iii) NLP in the context of www and digital libraries ; and (iv) evaluation of NLP systems

    Cross-language Wikipedia Editing of Okinawa, Japan

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    This article analyzes users who edit Wikipedia articles about Okinawa, Japan, in English and Japanese. It finds these users are among the most active and dedicated users in their primary languages, where they make many large, high-quality edits. However, when these users edit in their non-primary languages, they tend to make edits of a different type that are overall smaller in size and more often restricted to the narrow set of articles that exist in both languages. Design changes to motivate wider contributions from users in their non-primary languages and to encourage multilingual users to transfer more information across language divides are presented.Comment: In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2015. AC

    Computational Sociolinguistics: A Survey

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    Language is a social phenomenon and variation is inherent to its social nature. Recently, there has been a surge of interest within the computational linguistics (CL) community in the social dimension of language. In this article we present a survey of the emerging field of "Computational Sociolinguistics" that reflects this increased interest. We aim to provide a comprehensive overview of CL research on sociolinguistic themes, featuring topics such as the relation between language and social identity, language use in social interaction and multilingual communication. Moreover, we demonstrate the potential for synergy between the research communities involved, by showing how the large-scale data-driven methods that are widely used in CL can complement existing sociolinguistic studies, and how sociolinguistics can inform and challenge the methods and assumptions employed in CL studies. We hope to convey the possible benefits of a closer collaboration between the two communities and conclude with a discussion of open challenges.Comment: To appear in Computational Linguistics. Accepted for publication: 18th February, 201

    Internationalisation and modern languages in Scottish Further and Higher Education

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    This scoping study investigated the impact of internationalisation strategies on modern language provision in Scottish further and higher education and was commissioned by the Subject Centre for Languages, Linguistics and Area Studies. It follows on from the report by Footitt (2005), which explored issues of internationalisation and modern languages in England. The present investigation had the following aims: to identify the main policy documents related to internationalisation strategies and modern languages in Scottish further and higher education and explore to which extent internationalisation initiatives support or encourage the development of students' language and to explore the explicit and implicit messages given by institutional websites about international student support and about modern language study; to explore the views of selected stakeholders in Scottish further and higher education with regard to internationalisation strategies and in what ways international activities at selected institutions offer opportunities for language learning
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