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Events

Learn about Paralex at the following events.

Paralex datathon @ LIFT2

We are organizing a Paralex datathon, co-located with the Journées LIFT 2 2026, on the 18th of November 2026.

Content

This datathon aims to guide participants through the creation of high-quality, FAIR morphological data. Participants will create Paralex datasets, machine-readable collections of inflectional paradigms. These collections are of benefit to people working on descriptions of individual languages, language typologists, theorists and quantitative linguists.

Participants are expected to bring morphological data they are interested in, be it content from a grammar, their own fieldwork collection, other datasets, etc.

Practical information

  • Participants: max. 15; application required.
  • Travel funding: Available for up to 3 students (max 400€ each, no plane trips, travel and two hotel nights covered), see application.
  • Where: Université Paris-Nanterre, France
  • When: 18 November 2026
  • Programme:
    • Morning: Introduction to Paralex
    • Afternoon: Start creating your own Paralex dataset.
  • Instructors: Jules Bouton, Sacha Beniamine.
  • Applications: Fill-in the application form before 15th August 2026.

This event is financed thanks to the Open Science prize awarded to Qumín by the French National Open Science Fund (FNSO)

Application form

If the form doesn't load, go to the following URL: https://forms.cloud.microsoft/e/5d24GfdPdL

Application deadline: 15th August 2026

Paralex masterclass @ ALS

A masterclass of the 2026 Conference of the Australian Linguistic Society. More details T.B.A.

Where: University Club of Western Australia, on Whadjuk Nyungar boodja (Whadjuk Nyungar Country) in Boorloo / Perth, Western Australia

When: 1 day during the conference (1-4 December 2026)

What:

  • Morning:
    • Lecture: Inflectional paradigms \& the Paralex standard
    • Hands-on session: Evaluating existing datasets
    • Lecture: Data principles and good data management
  • Afternoon. Hands-on session: create your own Paralex dataset.

Instructors: Mae Carroll, Sacha Beniamine.