The research group aims to synthesize and continue research activities in an area—corpus linguistics—that has been active at the University for over 25 years. The general objective is to bring together into an internal LiLAIM research group faculty, doctoral students, and research fellows who share an interest in using linguistic corpora in their research or teaching activities.
The research group is open to any area of linguistics, whether theoretical or applied. The common thread is the systematic use of rigorously organized linguistic data, equipped with metadata, searchable and reusable, regarded as a fundamental element of research activity and as a potential methodological support for data-driven teaching approaches. The areas most immediately (but not exclusively) related to this approach include, alongside corpus linguistics, acquisitional linguistics, learner corpus research, discourse analysis, sociolinguistics, language teaching, and computational linguistics.
The research group is also highly interdisciplinary, and can work across departmental research areas outside of linguistics, such as literary, philological, historical studies, computer science, etc.
Some of CARLA's objectives are:
- to promote corpus linguistics and the creation, dissemination, and use of linguistic corpora in research and teaching
- to organize events (workshops, seminars, etc.) on topics or methodologies related to corpus linguistics
- to encourage the development of bachelor's and master's theses based on corpora
- to create and maintain a website to promote the research group's activities
- to develop projects with scholars and groups from other universities for participation in research grant calls
- to participate in scientific outreach events such as the European Researchers' Night
Stefania Spina, Full Professor GLOT-01/A - Glottology and Linguistics
Luciana Forti, Researcher Rtd-A GLOT-01/A - Glottology and Linguistics
Irene Fioravanti, Research Fellow GLOT-01/A - Glottology and Linguistics
Fabio Zanda, PhD Candidate in Linguistics and Language Teaching / Research Fellow GLOT-01/A - Glottology and Linguistics
Identifying the error: a comparison between human intelligence and artificial intelligence
Fioravanti, I., Forti, L., D’Alesio, V., Roccaforte, M., Spina, S., Koesters Gensini, S. (2024). Insights into Phraseological Processing through Stimuli Modification: An Exploratory Eye-Tracking Study on Native Speakers and Learners of Italian. Languages, 9, 14. https://doi.org/10.3390/languages9010014 [Class A]
Forti, L. (2024). Proficiency-rated learner corpora: A promising resource for data-driven learning. International Journal of Learner Corpus Research, 10(1), 216-240. https://doi.org/10.1075/ijlcr.00045.for [Class A] Forti, L. (2023). Corpus Use in Italian Language Pedagogy. Exploring the Effects of Data-driven learning, Routledge.
Spina, S., Fioravanti, I., Forti, L., Zanda, F. (2023). The CELI Corpus: design and linguistic annotation of a new online learner corpus. Second Language Research, 40(2), 457-477. https://doi.org/10.1177/02676583231176370 [Class A]
Spina, S., Fioravanti, I., Forti, L., Santucci, V., Scerra, A., Zanda, F. (2022), The CELI corpus: a new resource for studying the acquisition of Italian as a second language, Italiano LinguaDue, 14(1), 116-138. DOI: 10.54103/2037-3597/1. ISSN: 2037-3597. [Class A]
Spina, S., Forti, L., Zanda, F. (2021). Towards a reference corpus of spoken dialogic Italian: the BNC2014 model. In Goria, E., Ciccolone, S. (eds.), Corpora di parlato nel panorama italoromanzo. Verso l'individuazione di pratiche condivise, special issue of RID - Rivista Italiana di Dialettologia. ISBN: 978-88-3364-339-7. [Class A]
