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Content archived on 2024-06-18

Federated Active Linguistic data CuratiON

Project description


SME initiative on analytics
The project is about integrating language technologies and linked data for creating rich reusable language resources and better processes in particular in the localisation industry.

This project will deliver a modular software platform that will enable SMEs in the localisation industry to leverage open language resources published by public bodies. This platform will bootstrap a commercially sustainable localisation process that allows SME Language Service Providers (LSPs) to continuously reuse the output of web content translation projects. By integrating these outputs with language resources from public bodies, SME LSPs can easily and cheaply optimise and tailor open source machine translation and automated terminology extraction components to the needs of their customers. Today, the curation of parallel text involves the publication of the undifferentiated results of translation projects in differing formats or via centralised repositories. This restricts SMEs in leveraging these resources to train machine translation engines to match incoming translation projects. FALCON will enable the controlled sharing and reuse of language resources, combining open corpora from public bodies with richly annotated output from commercial translation projects. Federated access control will enable sharing and reuse of commercial resources while respecting business partnerships, client relationships, competitive and licensing concerns. Fine grained traceability language resource reuse will enable return on investment calculations on resource curation in public bodies and SME LSPs alike. The consortium combines academic expertise in localisation interoperability, linked data management, statistical machine translation and statistical parsing with SMEs offering services and solutions for translation and terminology management. This project will enable the language service industry to realise its potential as a major sources of shared linked data by measurably improving cost, speed and quality benefits of reuse. The consortium members will then be strongly placed to commercially exploit these benefits.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Programme(s)

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Topic(s)

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Call for proposal

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FP7-ICT-2013-SME-DCA
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Funding Scheme

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CP - Collaborative project (generic)

Coordinator

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
EU contribution
€ 382 586,00
Address
COLLEGE GREEN TRINITY COLLEGE
D02 CX56 Dublin
Ireland

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Region
Ireland Eastern and Midland Dublin
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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Participants (4)

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