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Morphologically Linked Old Irish Resource

Project description

Advanced data models for Old Irish language lexicography

Old Irish, characterised by complex morphology and an inconsistent orthography, poses a challenge for lexicographers, philologists and students working with limited resources. With the support of the Marie Skłodowska-Curie Actions programme, the MOLOR project will enhance Old Irish distributed lexical resources. This will be achieved through the implementation of state-of-the-art data models and lexicographic standards based on the principles of Linguistic Linked Open Data. By connecting the 8th-century Old Irish Würzburg glosses with a comprehensive lexicon containing normalised and variant spellings, as well as phonological representations, the project will fully leverage existing textual and lexical resources. MOLOR intends to establish a new standard for interlinking Old Irish resources while improving language-independent lexicographic data formats and ontologies applicable to any language and domain.

Objective

The aim of MOLORMorphologically Linked Old Irish Resourceis to make Old Irish distributed lexical resources interact by using state-of-the-art data models and lexicographic standards based on the Linguistic Linked Open Data (LLOD) principles. On the basis of the 8th-century Old Irish Wrzburg glosses, MOLOR will fully exploit a set of existing (both textual and lexical) resources by linking the text with a full-form lexicon containing both normalised and variant spellings as well as phonological representations. The integration of resources will benefit many different stakeholders, including lexicographers, philologists, and students, who currently work with inadequate and fragmented resources for a language with a highly complex morphology and an inconsistent and opaque orthography.

Thanks to the internationally recognised expertise of the host institution, the applicant will be at the forefront of developments in LLOD and language processing for ancient languages. As a result of the envisaged mutual knowledge transfer, MOLOR is not only expected to lead to a novel standard in resource creation and interlinking for Old Irish, but it will also substantially contribute to and improve language-independent lexicographic data formats and ontologies, as such being applicable to any language and any domain. Finally, the fellowship will significantly improve the applicants skillset and employability due to increased interdisciplinary expertise at the intersection of the Humanities and Technology, and the fostering of new partnerships on resource creation and streamlining for ancient Indo-European languages.

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2022-PF-01

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Coordinator

UNIVERSITA CATTOLICA DEL SACRO CUORE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 172 750,08
Address
LARGO GEMELLI 1
20123 MILANO
Italy

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Region
Nord-Ovest Lombardia Milano
Activity type
Higher or Secondary Education Establishments
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Total cost

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