Code-switching ‘in site’ for fantasizing identities: A case study of conventional uses of London Greek Cypriot

Sociolinguistic studies of minority languages and bilingualism have increasingly moved away from a singular emphasis on issues of ethnicity that poses direct links between the use of a language and an ethnic or cultural identity towards exploring the construction of identities that are not firmly located in category-bound descriptions. In this paper, we draw on these latest insights to account for processes of identity construction in a bilingual (in Greek Cypriot and English) youth organization group based in North London. Our main data consist of the audio-recorded interactional data from a socialization outing after one of the groups meeting but we also bring in insights from the groups ethnographic study and a larger study of the North London Cypriot community that involved interviews and questionnaires. In the close analysis of our main data, we note a conventional association between the London Greek Cypriot (henceforth LGC) variety that is switched to from English as the main interactional frame and a set of genres (in the sense of recurrent evolving responses to social practices) that are produced and taken up as humorous discourse: These include narrative jokes, ritual insults, hypothetical scenarios, and metalinguistic instances of mock Cypriot. We will suggest that the use of LGC demonstrates a relationship of ambivalence, a partly ours partly theirs status, with the participants carving out a different, third space for themselves that transcends macro-social categories (e.g. the Cypriots, the Greek-Cypriot community). At the same time, we will show how the discursive process of choosing language from a bi- or multi-lingual repertoire does not only create identities in the sense of socially and culturally derived positions but also identities (sic (dis)-identifications) in the sense of desiring and fantasizing personas

Embracing the threat: machine translation as a solution for subtitling

Recent decades have brought significant changes in the subtitling industry, both in terms of workflow and in the context of the market for audiovisual translation. Machine translation (MT), whilst in regular use in the traditional localisation industry, has not seen a significant uptake in the subtitling arena. The SUMAT project, an EU-funded project which ran from 2011 to 2014 had as its aim the building and evaluation of viable MT solutions for the subtitling industry in nine bidirectional language pairs. As part of the project, a year-long large-scale evaluation of the output of the resulting MT engines was carried out by trained subtitlers. This paper reports on the impetus behind the investigation of MT for subtitling, previous work in this field, and discusses some of the results of this evaluation, in particular an attempt to measure the extent of productivity gain or loss for subtitlers using machine translation as opposed to working in the traditional way. The paper examines opportunities and limitations of MT as a viable option for work of this nature and makes recommendations for the training of subtitle post-editors

Mediatization of Emotion on Social Media: Forms and Norms in Digital Mourning Practices

This article provides the theoretical background for this Special Issue which explores the mediatization of emotion on social media as attested in different digital mourning practices. The overview discusses the affective and emotional turn alongside the mediatic turn in relation to key trends and foci in the study of affect/emotion. Our discussion points to a shift in conceptualizations of affect/emotion from mediated to mediatized practice, embedded in other social practices and subject to media and social media logics, affordances, and frames, which are worthy of empirical investigation. The article also presents key insights offered in the four articles of this Special Issue and foregrounds current and future directions in the study of mediatization, emotional sharing, and digital mourning practices