The Open UniversitySkip to content
 

Facilitating cross-language retrieval and machine translation by multilingual domain ontologies

Knoth, Petr; Collins, Trevor; Sklavounou, Elsa and Zdrahal, Zdenek (2010). Facilitating cross-language retrieval and machine translation by multilingual domain ontologies. In: Workshop on Supporting eLearning with Language Resources and Semantic Data (at LREC 2010), 22 May 2010, Valletta, Malta.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1244Kb)
URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=...
Google Scholar: Look up in Google Scholar

Abstract

This paper presents a method for facilitating cross-language retrieval and machine translation in domain specific collections. The method is based on a semi-automatic adaption of a multilingual domain ontology and it is particularly suitable for the eLearning domain. The presented approach has been integrated into a real-world system supporting cross-language retrieval and machine translation of large amounts of learning resources in nine European languages. The system was built in the context of a European Commission Supported project Eurogene and it is now being used as a European reference portal for teaching human genetics.

Item Type: Conference Item
Copyright Holders: 2010 The Authors
Academic Unit/Department: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 23401
Depositing User: Kay Dave
Date Deposited: 05 Oct 2010 12:02
Last Modified: 05 Oct 2016 11:16
URI: http://oro.open.ac.uk/id/eprint/23401
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk