Generalizing ITS as an Interoperable Annotation Technique for Global Intelligent Content
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Journal ArticleDate:
2013Access:
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Dave Lewis, Leroy Finn, Rob Brennan, Declan O Sullivan, Alex O Connor., Generalizing ITS as an Interoperable Annotation Technique for Global Intelligent Content, Localisation Focus - The International Journal of Localisation, 12, 1, 2013, 27 - 40Download Item:
locfoc13-paper36-cr.pdf (Published (author's copy) - Peer Reviewed) 223.8Kb
Abstract:
This paper considers how the interoperable content annotation techniques developed to address the needs of localization processing chains could be applied to a broader class of content processing. We extract the content annotation patterns developed for the Internationalization Tag Set standards at the W3C. These provide a means for annotating content with common meta-data that addresses different aspects of content localization from content creation, through extraction, segmentation, terminology management, automated translation, post-editing, quality assurance to publication of the translated content. This paper explores the lessons learnt in developing ITS2.0 as a suite of interoperable content annotation in the form of a pattern language. Interoperability problems arise when end-to-end content processing spans different: content formats; content processing tools and engines; and content processing service providers. This paper aims to make it easier to leverage these annotation patterns in the same way across these different interoperability mechanisms. In particular we propose annotations that follow the ITS annotation patterns but address personalization content processing. From this proposal, the potential for integrated localization and personalization processing is considered.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
12/CE/I2267
Author's Homepage:
http://people.tcd.ie/osulldpshttp://people.tcd.ie/delewis
http://people.tcd.ie/rbrenna
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Localisation Focus - The International Journal of Localisation12
1
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annotation, meta-dataSubject (TCD):
Intelligent Content & CommunicationsDOI:
1649-2358Licences: