20,498 research outputs found

    IMAGINE Final Report

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    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

    Parallel Distributed Grammar Engineering for Practical Applications

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    Based on a detailed case study of parallel grammar development distributed across two sites, we review some of the requirements for regression testing in grammar engineering, summarize our approach to systematic competence and performance profiling, and discuss our experience with grammar development for a commercial application. If possible, the workshop presentation will be organized around a software demonstration

    Multimedia information technology and the annotation of video

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    The state of the art in multimedia information technology has not progressed to the point where a single solution is available to meet all reasonable needs of documentalists and users of video archives. In general, we do not have an optimistic view of the usability of new technology in this domain, but digitization and digital power can be expected to cause a small revolution in the area of video archiving. The volume of data leads to two views of the future: on the pessimistic side, overload of data will cause lack of annotation capacity, and on the optimistic side, there will be enough data from which to learn selected concepts that can be deployed to support automatic annotation. At the threshold of this interesting era, we make an attempt to describe the state of the art in technology. We sample the progress in text, sound, and image processing, as well as in machine learning

    A graphical interface for MT evaluation and error analysis

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    Error analysis in machine translation is a necessary step in order to investigate the strengths and weaknesses of the MT systems under development and allow fair comparisons among them. This work presents an application that shows how a set of heterogeneous automatic metrics can be used to evaluate a test bed of automatic translations. To do so, we have set up an online graphical interface for the ASIYA toolkit, a rich repository of evaluation measures working at different linguistic levels. The current implementation of the interface shows constituency and dependency trees as well as shallow syntactic and semantic annotations, and word alignments. The intelligent visualization of the linguistic structures used by the metrics, as well as a set of navigational functionalities, may lead towards advanced methods for automatic error analysis.Peer ReviewedPostprint (published version

    Expectations eclipsed in foreign language education: learners and educators on an ongoing journey / edited by Hülya Görür-Atabaş, Sharon Turner.

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    Between June 2-4, 2011 Sabancı University School of Languages welcomed colleagues from 21 different countries to a collaborative exploration of the challenging and inspiring journey of learners and educators in the field of language education.\ud \ud The conference provided an opportunity for all stakeholders to share their views on language education. Colleagues met with world-renowned experts and authors in the fields of education and psychology, faculty and administrators from various universities and institutions, teachers from secondary educational backgrounds and higher education, as well as learners whose voices are often not directly shared but usually reported.\ud \ud The conference name, Eclipsing Expectations, was inspired by two natural phenomena, a solar eclipse directly before the conference, and a lunar eclipse, immediately after. Learners and educators were hereby invited to join a journey to observe, learn and exchange ideas in orde

    Studies on Metadiscourse since the 3rd Millennium

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    Metadiscourse refer to linguistic resources that are used to refer to the act and the context of writing about some subject matter. Study of metadiscourse provides a gateway for understanding interactional features of texts or speech, looking beyond the ideational dimension of texts at how writers characterize the world and function interpersonally. The ability of writers to use metadiscourse effectively, to control the level of personality in their texts by offering a credible representation of themselves and their ideas, is seen as a defining feature of successful writing (Hyland, 2008). This paper provides a literature review of the theories in modelling metadiscourse and the studies investigating metadiscourse for the past 15 years, and propose future research directions based on the review. Keywords: Metadiscourse, interactional features, literature revie

    Software Infrastructure for Natural Language Processing

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    We classify and review current approaches to software infrastructure for research, development and delivery of NLP systems. The task is motivated by a discussion of current trends in the field of NLP and Language Engineering. We describe a system called GATE (a General Architecture for Text Engineering) that provides a software infrastructure on top of which heterogeneous NLP processing modules may be evaluated and refined individually, or may be combined into larger application systems. GATE aims to support both researchers and developers working on component technologies (e.g. parsing, tagging, morphological analysis) and those working on developing end-user applications (e.g. information extraction, text summarisation, document generation, machine translation, and second language learning). GATE promotes reuse of component technology, permits specialisation and collaboration in large-scale projects, and allows for the comparison and evaluation of alternative technologies. The first release of GATE is now available - see http://www.dcs.shef.ac.uk/research/groups/nlp/gate/Comment: LaTeX, uses aclap.sty, 8 page
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