[Histling-l] Data in Historical Linguistics seminar: Special panel on Treebanks for historical languages (Old Italian and Old Gascon)

Andrea Farina andrea.farina at kcl.ac.uk
Wed May 14 05:59:30 EDT 2025


The last talks of the Data in Historical Linguistics Seminar Series 2025 will take place remotely on TUESDAY 27 May 2025 at 5pm BST. We are delighted to host a special panel session on treebanks for historical languages, featuring two back-to-back talks, followed by a joint Q&A session.

Claudia Corbetta (University of Pavia / Bergamo, Italy) will open the panel and present on “The Sound of Silence in the Divine Comedy: toward a dependency analysis of predicate ellipses in the first Cantica of Dante Alighieri’s poem”.

Barbara Francioni (University of Caen, France), Natasha Romanova (University of Caen, France) and Rayan Ziane (University of Orléans / University of Caen, France) will follow with a presentation titled “First steps towards building a treebank of Old Gascon”.

Registration for these talks will close at midnight on Friday 23rd May.
Register here: https://forms.gle/PJi3MY7C9StMa3BR9

The registration form is the same for both talks, as well as the link you will receive to attend the panel session. If you wish to attend only the second talk, you will connect at 5.30pm BST. There will be one joint Q&A session at the end of both talks, at 6pm BST.

Participants will receive a Microsoft Teams link via email on the morning of the talk.

The abstract for both talks can be found here:
https://datainhistoricallinguistics.wordpress.com/2024/12/31/corbetta-francioni-et-al/

Join our mailing list<https://datainhistoricallinguistics.wordpress.com/join-us/>!

This seminar series is run by Andrea Farina and Mathilde Bru (King’s College London) and is aimed at PhD students and early career researchers. The purpose of this seminar series is to bring together researchers working on historical linguistics with a quantitative approach, and to discuss current avenues of research in this topic. We hope that these seminars will nurture international collaboration and establish academic ties among researchers working on similar topics in this field.


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