🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Congratulations Ashley Blake ! Being part of your supervisory team was a real pleasure! Wonderful to see the direct link between high-level theoretical work and real-world application #DLD

Latest paper from our team - and our first registered report - with @LauRomain ℙ𝕖𝕥𝕒𝕣 𝕄𝕚𝕝𝕚𝕟 and Dagmar Divjak now out in Language Learning, open access! College of Arts+Law School of EDACS Ling&Comm@UoB

One of our team took her expertise off the beaten track and works with a medievalist on using eye tracking to explore how modern readers enable with manuscripts. Congratulations Dr Shiyu He College of Arts+Law @LCAHM_UoB

This week we are hosting Piia Taremaa from University of Tartu as part of MEDAL @medallinguist.bsky.social mentoring initiative. Piaa gave a talk to Out Of Our Minds group about her eye-tracking study.

From theory to practice: making sense of eye-tracking data Out Of Our Minds lab in preparation for a new MEDAL @medallinguist.bsky.social research study!

Wonderful view on the history of corpus linguistics by Michael Barlow and a reminder for Out Of Our Minds that we have allies in the past 🥰

If you are a UK Home student who would like to pursue a fully funded PhD with us Out Of Our Minds, please get in touch on [email protected]. We are accepting expressions of interest for applications to this year’s AHRC and ESRC doctoral schemes.

Here’s Justyna MacKiewicz presenting our aspect training study: our error-correction model predicted faster and smoother learning for a grammar approach and slower and more variable learning for a lexical approach. Which type of learning deals with real language best?

Are you curious about using computational models on your research on language, like we do? Sign up for our Summer School NOW ✍️

New paper out 🎺 introducing process-based measures of automatisation in L2 The elicited imitation task is widely used as a measure of automatized L2 knowledge. However, the scoring of the task relies exclusively on product-based measures (i.e., accuracy of L2 production).

Here we are, or at least here’s the local half of the team, ready to embark on our annual Xmas lunch, and thinking about our team members far, far away, in the US, China and Japan! Merry Xmas to us all 🎄!