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(voir en anglais) // IRP14: Language awareness and communicative ability through exposure: Data-driven approaches with corpora and GenAI

ABG-139294
ADUM-75243
Thesis topic
2026-05-27
Université de Lorraine
NANCY - Grand Est - France
(voir en anglais) // IRP14: Language awareness and communicative ability through exposure: Data-driven approaches with corpora and GenAI
(voir en anglais), (voir en anglais)
Language awareness, Data-driven learning, Corpus linguistics, Multilingualism, Less commonly-taught languages

Topic description

The MultiLAwa initiative is an interdisciplinary research programme that promotes the concept of multilingual language awareness as it investigates language awareness in multilingual contexts, zooming in on critical language awareness, metalinguistic awareness, and practical language awareness. Adopting a broad understanding of language awareness as a general, socially embedded competence, the project addresses major language-related challenges in a rapidly digitalising society and contributes to the development of sustainable, inclusive, and pluri-/multilingual ecosystems across Europe.
MultiLAwa capitalises on the diverse expertise of its 26 interacting partners and can rely on a solid and highly experienced multi-stakeholder partnership. Thanks to the exceptional collaboration between 10 universities in 8 European countries and 16 associated partners, the DC will benefit from an international, interdisciplinary and intersectoral training, including in-depth training in key research skills in the fields of (applied) linguistics, digital linguistics and language technologies, gender linguistics, interactional linguistics, sociolinguistics, lexicography, terminology, LSP, didactics and language policy and transferable skills (e.g., open science, intellectual property rights, ethics, scientific presentation, etc.).
The consortium will train 14 DCs as plurilingual ambassadors of plurilingualism in research excellence by using both English and German for internal communication during the training events and to achieve the respective research objectives in their multilingual Individual Research Project.
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Digitisation has a massive impact on the availability and usability of language data, but its effect on language awareness and communicative ability is only gradually being explored. IRP14 investigates how massive exposure to structured language can enhance language awareness and communicative ability. Structured language mainly involves: a) corpora of authentic language in the form of data-driven learning (DDL); b) LLMs that underlie GenAI chatbots. Drawing on a usage-based approach, IRP14 will:
1) compare the learning potentials/affordances from different forms of ‘authentic' language exposure;
2) analyse current uses of corpora and GenAI for language learning in formal and non-formal contexts, exploring how the strengths of corpora and GenAI can be best combined;
3) develop new practices for combining use of corpora and GenAI in developing language skills, testing these empirically.
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Début de la thèse : 01/11/2026
WEB : https://www.multilawa.eu/

Funding category

Funding further details

Programmes de l'Union Européenne de financement de la recherche (ERC, ERASMUS)

Presentation of host institution and host laboratory

Université de Lorraine

Institution awarding doctoral degree

Université de Lorraine

Graduate school

78 SLTC - SOCIETES, LANGAGES, TEMPS, CONNAISSANCES

Candidate's profile

(voir en anglais)
The candidate is expected to: – have the potential to conduct research of excellent quality, as demonstrated by initial academic work such as the master's thesis, and – if applicable – presentations at conferences, awareness-raising activities or publications. – be interested in working in a multilingual, interdisciplinary and international research environment. – have excellent communication skills in German and English (at least B2). – be willing to undertake international research secondments and travels. Applications should be sent as a single PDF file to application@multilawa.eu. For more details, cf. the project website under 'Application process': https://www.multilawa.eu/recruitment-for-applying/application-process/
2026-07-08
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