54 research outputs found

    A Corpus-based and Eye-Tracking Study on the Audience Reception and Processing of English-Chinese Swearwords Produced by Amateur (Fansubbing) and Professional (Prosubbing) Subtitling

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    Technological advances continue to enable the creation of more and more audiovisual (AV) products, i.e., films, TV shows, podcasts, etc., which are widely disseminated online and accessible to millions of diverse users across the globe. The translation of these AV products remains a significant challenge, resulting in increasing numbers of individuals and groups becoming online volunteers to translate foreign audiovisual products into their domestic markets, i.e., fansubbing – a contraction of ‘fan’ and ‘subtitling’. However, when translating culturally-sensitive information, particularly swearwords, there is reported convergence and divergence between fan-produced subtitles and professional/official subtitles produced by government-owned companies. This dissertation aims to explore the nature and impact of these similarities and differences. To do so, initially a corpus-based translation approach was employed to identify translation patterns of swearwords by these two groups. A corpus of 549,349 words in original English subtitle scripts was collated and aligned with 528,889 professionally and 543,522 non-professionally translated Chinese words from a diverse sample of 57 recent English films. The results showed mostly convergent practices, but fansubbing appeared to adopt a more vulgarising approach when rendering swearwords (55%) than prosubbing (46%). Informed by this corpus information, the study then employed an eye-tracking approach to investigate how audiences receive and cognitively process translated swearwords in films. An eye-tracking experiment collected data from 150 participants who were allocated into one of the five subtitling groups to watch four representative film clips: four different groups for translation strategies of swearwords ranging from low to high profanity, and one control group which saw only the original English same-language subtitles. Established measures of Total Fixation Count, Total Fixation Duration, Mean Fixation Duration and Time to First Fixation were analysed using a series of one-way ANOVAs. In general, these eye-tracking results showed no significant differences between the swearword translation strategies in terms of processing and reception. Pre- and post-task questionnaires were also employed to collect demographic information and qualitative feedback, in addition to the receptive measurement of immersion, satisfaction, enjoyment, comprehension and offensiveness. Generally, there were no significant differences among these measurements across all clips. Further, participants reported functional awareness of swearwords, which helped them to understand the observed characters’ emotions and feelings. As a result, they reported an expectation for a more authentic translation of swearwords that closely reflected the real-life usage of the target audience. The dissertation concludes with a presentation of the empirical and methodological contributions of the research, followed by a critical reflection on its limitations and the identification of future avenues of study

    LIPIcs, Volume 277, GIScience 2023, Complete Volume

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    LIPIcs, Volume 277, GIScience 2023, Complete Volum

    12th International Conference on Geographic Information Science: GIScience 2023, September 12–15, 2023, Leeds, UK

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    5th International Conference on Advanced Research Methods and Analytics (CARMA 2023)

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    Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, the 5th International Conference on Advanced Research Methods and Analytics (CARMA) is a forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges.Martínez Torres, MDR.; Toral Marín, S. (2023). 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023). Editorial Universitat Politècnica de València. https://doi.org/10.4995/CARMA2023.2023.1700

    Metropolitan Research

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    Metropolitan research requires multidisciplinary perspectives in order to do justice to the complexities of metropolitan regions. This volume provides a scholarly and accessible overview of key methods and approaches in metropolitan research from a uniquely broad range of disciplines including architectural history, art history, heritage conservation, literary and cultural studies, spatial planning and planning theory, geoinformatics, urban sociology, economic geography, operations research, technology studies, transport planning, aquatic ecosystems research and urban epidemiology. It is this scope of disciplinary - and increasingly also interdisciplinary - approaches that allows metropolitan research to address recent societal challenges of urban life, such as mobility, health, diversity or sustainability

    Metropolitan Research: Methods and Approaches

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    Metropolitan research requires multidisciplinary perspectives in order to do justice to the complexities of metropolitan regions. This volume provides a scholarly and accessible overview of key methods and approaches in metropolitan research from a uniquely broad range of disciplines including architectural history, art history, heritage conservation, literary and cultural studies, spatial planning and planning theory, geoinformatics, urban sociology, economic geography, operations research, technology studies, transport planning, aquatic ecosystems research and urban epidemiology. It is this scope of disciplinary - and increasingly also interdisciplinary - approaches that allows metropolitan research to address recent societal challenges of urban life, such as mobility, health, diversity or sustainability

    The Proceedings of the 23rd Annual International Conference on Digital Government Research (DGO2022) Intelligent Technologies, Governments and Citizens June 15-17, 2022

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    The 23rd Annual International Conference on Digital Government Research theme is “Intelligent Technologies, Governments and Citizens”. Data and computational algorithms make systems smarter, but should result in smarter government and citizens. Intelligence and smartness affect all kinds of public values - such as fairness, inclusion, equity, transparency, privacy, security, trust, etc., and is not well-understood. These technologies provide immense opportunities and should be used in the light of public values. Society and technology co-evolve and we are looking for new ways to balance between them. Specifically, the conference aims to advance research and practice in this field. The keynotes, presentations, posters and workshops show that the conference theme is very well-chosen and more actual than ever. The challenges posed by new technology have underscored the need to grasp the potential. Digital government brings into focus the realization of public values to improve our society at all levels of government. The conference again shows the importance of the digital government society, which brings together scholars in this field. Dg.o 2022 is fully online and enables to connect to scholars and practitioners around the globe and facilitate global conversations and exchanges via the use of digital technologies. This conference is primarily a live conference for full engagement, keynotes, presentations of research papers, workshops, panels and posters and provides engaging exchange throughout the entire duration of the conference

    SIS 2017. Statistics and Data Science: new challenges, new generations

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    The 2017 SIS Conference aims to highlight the crucial role of the Statistics in Data Science. In this new domain of ‘meaning’ extracted from the data, the increasing amount of produced and available data in databases, nowadays, has brought new challenges. That involves different fields of statistics, machine learning, information and computer science, optimization, pattern recognition. These afford together a considerable contribute in the analysis of ‘Big data’, open data, relational and complex data, structured and no-structured. The interest is to collect the contributes which provide from the different domains of Statistics, in the high dimensional data quality validation, sampling extraction, dimensional reduction, pattern selection, data modelling, testing hypotheses and confirming conclusions drawn from the data

    Proceedings of the 11th Toulon-Verona International Conference on Quality in Services

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    The Toulon-Verona Conference was founded in 1998 by prof. Claudio Baccarani of the University of Verona, Italy, and prof. Michel Weill of the University of Toulon, France. It has been organized each year in a different place in Europe in cooperation with a host university (Toulon 1998, Verona 1999, Derby 2000, Mons 2001, Lisbon 2002, Oviedo 2003, Toulon 2004, Palermo 2005, Paisley 2006, Thessaloniki 2007, Florence, 2008). Originally focusing on higher education institutions, the research themes have over the years been extended to the health sector, local government, tourism, logistics, banking services. Around a hundred delegates from about twenty different countries participate each year and nearly one thousand research papers have been published over the last ten years, making of the conference one of the major events in the field of quality in services
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