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CORDIS · ELEXAI

European Lexicographic Infrastructure for Artificial Intelligence

Код
ELEXAI
Програма
HORIZON
Процедура
HORIZON-INFRA-2025-01-DEV-03
Статус
SIGNED
Период
01.06.2026 – 31.05.2029
Обща стойност (целият консорциум)4 999 202 €
Принос на ЕС (целият консорциум)3 999 362 €
Принос на ЕС за българските участници66 500 €

Официални данни · CORDIS · синхронизирано 18.10.2026 03:29 · официален запис

Участници

ОрганизацииРоляДържаваБезвъзмездна помощ
INSTITUT JOZEF STEFANкоординаторSI353 700 €
KOBENHAVNS UNIVERSITETучастникDK358 750 €
STICHTING INSTITUUT VOOR DE NEDERLANDSE TAALучастникNL341 000 €
UNIVERZA V LJUBLJANIучастникSI304 500 €
LEIBNIZ-INSTITUT FUR DEUTSCHE SPRACHEучастникDE262 500 €
BERLIN-BRANDENBURGISCHE AKADEMIE DER WISSENSCHAFTENучастникDE245 000 €
UNIVERSITY OF GALWAYучастникIE245 000 €
CLARIN ERICучастникNL222 000 €
HUN REN NYELVTUDOMANYI KUTATOKOZPONTучастникHU168 300 €
UNIVERSIDAD DEL PAIS VASCO/ EUSKAL HERRIKO UNIBERTSITATEAучастникES157 500 €
POLITECHNIKA WROCLAWSKAучастникPL137 500 €
DET DANSKE SPROG- OG LITTERATURSELSKABучастникDK131 362 €
DIGITAL RESEARCH INFRASTRUCTURE FOR THE ARTS AND HUMANITIESучастникFR123 500 €
ALLIANCE POUR LES TECHNOLOGIES DES LANGUES (ATL-EDIC)участникFR115 500 €
ACCADEMIA EUROPEA DI BOLZANOучастникIT100 000 €
UNIVERSITA CATTOLICA DEL SACRO CUOREучастникIT99 050 €
LEXICAL COMPUTING CZ SROучастникCZ95 000 €
EESTI KEELE INSTITUUTучастникEE89 000 €
ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSISучастникEL87 500 €
MYKOLO ROMERIO UNIVERSITETASучастникLT70 200 €
Институт за български език „Проф. Любомир Андрейчин“, БАНучастникBG66 500 €
UNIVERSIDADE NOVA DE LISBOAучастникPT63 000 €
BORYS GRINCHENKO KYIV METROPOLITAN UNIVERSITYучастникUA59 500 €
MACEDONIAN ACADEMY OF SCIENCES AND ARTSучастникMK52 500 €
UNIVERZITET U BEOGRADU - RUDARSKO GEOLOSKI FAKULTETучастникRS51 000 €
CENTAR ZA DIGITALNE HUMANISTICKE NAUKEтрета странаRS0 €

Описание

The project proposes both valuable enhancement of current Artificial Intelligence (AI) foundation models and a major upgrade of the European Lexicographic Infrastructure (ELEXIS), which resulted from a Horizon 2020 project with the same name (2018-2022). The upgrade represents a transformative reconstruction of the infrastructure, based on recent developments in AI, in particular those related to the emergence of Large Language Models (LLMs). Besides the integration of national, regional, and institutional efforts in the field of lexicography, the new infrastructure will offer upgraded technology, language data, tools, and services that are crucial forimproving transformer-based models with multilingual knowledge management originating from high-quality lexicographic resources. The advent of machine-readable knowledge representations (knowledge bases and graphs) that are linguistically sound and can be injected into LLMs, enables the introduction of a virtuous cycle where the relevance of the integrated linguistic knowledge is verified by better outputs from LLM applications that, subsequently, can be used for improving of knowledge representations and language data. To verify the effect of incorporating linguistic knowledge in LLMs, the creation of reliable benchmarks and other means of evaluation of machine-generated output is foreseen as a result. As such, the infrastructure design will contribute to the yet unresolved tasks of Natural Language Understanding. The establishment of a new virtual lexicographic infrastructure will be carried out by a broad and diverse consortium, including partners from all relevant fields: lexicography, Computational Linguistics, and AI. For long-term sustainability, the infrastructure will rely on several prominent infrastructural initiatives: CLARIN and DARIAH, two ESFRI Landmark infrastructures, and ALT-EDIC, as the new pan-European initiative dedicated to the development of European open massively multilingual language models.

Официални данни · CORDIS · синхронизирано 18.10.2026 03:29 · официален запис · Лиценз: © European Union, CC BY 4.0 (Commission reuse policy).