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How to make neural natural language generation as reliable as templates in task-oriented dialogue
In: Elder, Henry, O'Connor, Alexander orcid:0000-0003-0301-999X and Foster, Jennifer orcid:0000-0002-7789-4853 (2020) How to make neural natural language generation as reliable as templates in task-oriented dialogue. In: 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 16-20 Nov 2020, Online. (2020)
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Wie man ein Dialektwörterbuch macht, ohne Artikel zu schreiben Kollaborative, interdisziplinäre Lexikographie am Beispiel des Wörterbuchs der bairischen Mundarten in Österreich (WBÖ) ...
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exploreAT! - Kollaborative, multidisziplinäre Lexikographie am Beispiel der Datenbank der bairischen Mundarten in Österreich (DBÖ) ...
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Wie man ein Dialektwörterbuch macht, ohne Artikel zu schreiben Kollaborative, interdisziplinäre Lexikographie am Beispiel des Wörterbuchs der bairischen Mundarten in Österreich (WBÖ) ...
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exploreAT! - Kollaborative, multidisziplinäre Lexikographie am Beispiel der Datenbank der bairischen Mundarten in Österreich (DBÖ) ...
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6
Generalizing ITS as an Interoperable Annotation Technique for Global Intelligent Content
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Linked Open Corpus Models, Leveraging the Semantic Web for Adaptive Hypermedia ; The 23rd ACM Conference on Hypertext and Social Media, HT 2012
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8
Multilingual adaptive search for digital libraries
In: Ghorab, M. Rami, Leveling, Johannes orcid:0000-0003-0603-4191 , Lawless, Séamus, O'Connor, Alexander, Zhou, Dong, Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Wade, Vincent (2011) Multilingual adaptive search for digital libraries. In: 1st International Conference on Theory and Practice of Digital Libraries (TPDL 2011), 25-29 Sept 2011, Berlin, Germany. ISBN 9783642244681 (2011)
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Multilingual Adaptive Search for Digital Libraries ; 15th International Conference on Theory and Practice in Digital Libraries (TPDL 2011)
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10
A Semantic Model for Integrated Content Management, Localisation and Language Technology Processing ; 2nd Workshop on the Multilingual Semantic Web
Abstract: IN_PRESS ; Bonn, Germany ; Providers of products and services are faced with the dual challenge of supporting the languages and individual needs of the global customer while also accommodating the increasing relevance of user-generated content. As a result, the content and localisation industries must now evolve rapidly from manually processing predicable content which arrives in large jobs to the highly automated processing of streams of fast moving, heterogeneous and unpredictable content. This requires a new generation of digital content management technologies that combine the agile flow of content from developers to localisers and consumers with the data-driven language technologies needed to handle the volume of content required to feed the demands of global markets. Data-driven technologies such as statistical machine translation, cross-lingual information retrieval, sentiment analysis and automatic speech recognition, all rely on high quality training content, which in turn must be continually harvested based on the human quality judgments made across the end-to-end content processing flow. This paper presents the motivation, approach and initial semantic models of a collection of research demonstrators where they represent a part of, or a step towards, documenting in a semantic model the multi-lingual semantic web. ; In acknowledgement this research is supported by the Science Foundation Ireland (Grant 07/CE/I1142) as part of the Centre for Next Generation Localisation (www.cngl.ie) at Trinity College Dublin and Dublin City University.
Keyword: Content Management; Interoperability; Language Technology; Localisation; Multilingual Web
URL: http://people.tcd.ie/delewis
http://hdl.handle.net/2262/59468
http://people.tcd.ie/jonesdh
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11
Applying Digital Content Management to Support Localisation
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Applying digital content management to support localisation
In: O'Connor, Alexander, Lawless, Séamus, Zhou, Dong, Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Wade, Vincent (2009) Applying digital content management to support localisation. Localisation Focus - The International Journal of Localisation, 8 (1). pp. 39-52. ISSN 1649-2358 (2009)
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