23,097 research outputs found

    Experiments on domain adaptation for patent machine translation in the PLuTO project

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    The PLUTO1 project (Patent Language Translations Online) aims to provide a rapid solution for the online retrieval and translation of patent documents through the integration of a number of existing state-of-the-art components provided by the project partners. The paper presents some of the experiments on patent domain adaptation of the Machine Translation (MT) systems used in the PLuTO project. The experiments use the International Patent Classification for domain adaptation and are focused on the English–French language pair

    Language (Technology) is Power: A Critical Survey of "Bias" in NLP

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    We survey 146 papers analyzing "bias" in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyzing "bias" is an inherently normative process. We further find that these papers' proposed quantitative techniques for measuring or mitigating "bias" are poorly matched to their motivations and do not engage with the relevant literature outside of NLP. Based on these findings, we describe the beginnings of a path forward by proposing three recommendations that should guide work analyzing "bias" in NLP systems. These recommendations rest on a greater recognition of the relationships between language and social hierarchies, encouraging researchers and practitioners to articulate their conceptualizations of "bias"---i.e., what kinds of system behaviors are harmful, in what ways, to whom, and why, as well as the normative reasoning underlying these statements---and to center work around the lived experiences of members of communities affected by NLP systems, while interrogating and reimagining the power relations between technologists and such communities

    Lost in translation? : negotiating technological innovation in healthcare

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    Technological innovation in healthcare is growing at a rapid pace. Developments in genetics, stem cell research, bioinformatics, imaging and screening techniques have broadened out the arena of health technology. These developments in sophisticated technology, it is suggested, have the potential to revolutionize the practices of medicine and healthcare by providing more proactive and powerful tools for the diagnosis, treatment, and prevention of illness and disease (Liddell et al, 2008; Webster, 2002). In support of such claims, available research findings suggest that the adoption of new innovative health technologies (IHTs) can result in reducing healthcare costs, increasing productivity, healthcare effectiveness, and improving the patient’s experience of care by better management of chronic diseases (Liddell et al, 2008; Healthcare Industries Task Force, 2004). At the same time, new innovative health technologies present many challenges. Evidence indicates that patient safety and proven clinical effectiveness are insufficient to ensure the adoption and implementation of new clinical technologies. The prevailing organizational and policy context is crucially important as this may present barriers which slow or even prevent uptake (Lehoux 2006). In recent years there has been a continuing debate around issues of clinical resistance, organizational/clinical restructuring, procurement and commissioning, public trust, and, more widely, around the ethical and social implications of techno-scientific innovations in medicine and health (Williams and Dickinson, 2008; Webster, 2006; Ferlie et al., 2005). Moreover, cost-effectiveness evidence is now required to inform decisions about the funding and procurement of new healthcare services and technologies (Fitzgerald et al., 2002). Overall, the value of the innovation has to be clearly evident to a number of different stakeholders if technologies are to be embedded into actual work practices. These potential barriers have given rise to questions related to the diffusion and adoption of emerging medical and healthcare innovations. This paper examines the dynamics and complexity of innovation adoption processes in the context of a rapidly changing healthcare policy landscape. Drawing upon the inherently socially negotiated character of meaning, this paper illustrates the ambivalent nature of technological innovation by examining the complex ongoing interplay of heterogeneous discourses in shaping the adoption of innovative health technologies (Law, 1987, 1994). Drawing upon Rye and Kimberly (2007) adoption is here understood as a distinct organizational process related to an organization’s potential interest in implementing a technological innovation. In so doing, this paper draws on the findings of a three year research project which examines the adoption of innovative clinical technologies in the UK NHS. In particular, we explore the nature, role and dynamics of heterogeneous discourses (technological, managerial/professional, clinical), in shaping the adoption of a retinal imaging technology in a UK hospital Trust. In this regard, we contribute to the development of alternative ways of describing, analysing, and theorizing the process of technological innovation in healthcare

    Language report for Catalan (English version)

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    The central objective of the Metanet4u project is to contribute to the establishment of a pan-European digital platform that makes available language resources and services, encompassing both datasets and software tools, for speech and language processing, and supports a new generation of exchange facilities for them.Peer ReviewedPreprin

    MMT: New Open Source MT for the Translation Industry

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    MMT is a new open source machine translation software specifically addressing the needs of the translation industry. In this paper we describe its overall architecture and provide details about its major components. We report performance results on a multi-domain benchmark based on public data, on two translation directions, by comparing MMT against state-of-theart commercial and research phrase-based and neural MT systems

    Innovative Applications of Natural Language Processing and Digital Media in Theatre and Performing Arts

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    The objective of our research is to investigate new digital techniques and tools, offering the audience innovative, attractive, enhanced and accessible experiences. The project focuses on performing arts, particularly theatre, aiming at designing, implementing, experimenting and evaluating technologies and tools that expand the semiotic code of a performance by offering new opportunities and aesthetic means in stage art and by introducing parallel accessible narrative flows. In our novel paradigm, modern technologies emphasize the stage elements providing a multilevel, intense and immersive theatrical experience. Moreover, lighting, video projections, audio clips and digital characters are incorporated, bringing unique aesthetic features. We also attempt to remove sensory and language barriers faced by some audiences. Accessibility features consist of subtitles, sign language and audio description. The project emphasises on natural language processing technologies, embedded communication and multimodal interaction to monitor automatically the time flow of a performance. Based on this, pre-designed and directed stage elements are being mapped to appropriate parts of the script and activated automatically by using the virtual "world" and appropriate sensors, while accessibility flows are dynamically synchronized with the stage action. The tools above are currently adapted within two experimental theatrical plays for validation purposes. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</p
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