Out Of Our Minds
@ooominds
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Optimizing language learning with discriminative algorithms. Led by @dagmardivjak and @petarmilin. Find us on https://t.co/7Wh0ktnfog
Birmingham, England
Joined February 2017
To conclude our @LeverhulmeTrust Research Leadership Award in style, we thought we'd share a sneak peak into the life of an interdisciplinary team working on language learning @petarmilin @RoryApplin @artsatbham @Eng_Lang_UoB @LCAHM_UoB @EDACS_UoB
https://t.co/W93b4OTXTP
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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 🎄!
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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).
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Are you curious about using computational models on your research on language, like we do? Sign up for our Summer School NOW ✍️
The registration for the last #MEDAL #summerschool is open! This years summer school will take place at @unibirmingham between the 23rd and 27th of June and is about computational linguistics. The programme can be found on our website! Hope to see you this summer!🌞
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Here’s @MackJustyna 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?
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The paper is Open Access, courtesy of @UoBLibServices. Data and analysis code are available for download from Ubira and GitHub - follow the link in the paper.
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These findings have real-world applications, such as the way English is taught as a second language and understanding how we, as individuals, make judgments based on accents in high-stakes situations like job interviews.
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We found a clear linear effect of conscientiousness: the more conscientious you are, the less acceptable you find foreign-accented speech, regardless of the presence of grammatical errors. Other personality types showed a more complex, nonlinear pattern.
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We found that the article errors were more detrimental in the British accented speech than in the Polish accented speech and that the personality traits of the listeners had an impact on the acceptability ratings.
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The 40 passages were read aloud by two British and two Polish speakers, one female and one male, at a natural speed. The participants were then asked to rate on a scale of 1-100 how the language sounded to them.
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The poor grammar versions had different types of article errors (“the” or “a/an”) as in “I enjoy Edinburgh Fringe Festival” or “We celebrate the Christmas” or “We exchanged the wishes”.
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We asked 60 first-language British English speakers, 30 men and 30 women, recruited in Birmingham, to listen to 40 recordings of short passages in English, with or without grammatical errors in either a British or Polish accent
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New paper now out, Open Access: A foreign accent protects against being penalised for grammatical errors, depending on personality type @petarmilin @HuiSunSLA @LeverhulmeTrust @Eng_Lang_UoB @LCAHM_UoB @EDACS_UoB @UoBLibServices @uob_bear
https://t.co/EoqxaQaHMH
tandfonline.com
LX speech tends to receive less favourable judgments, which can be attributed to its non-standard linguistic properties (e.g. foreign accents, grammatical errors). However, the evaluations of LX sp...
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Wonderful view on the history of corpus linguistics by @MBWaiheke and a reminder for @ooominds that we have allies in the past 🥰
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From theory to practice: making sense of eye-tracking data @ooominds lab in preparation for a new @MedalLinguist research study!
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This week we are hosting Piia Taremaa from @unitartu as part of @MedalLinguist mentoring initiative. Piaa gave a talk to @ooominds group about her eye-tracking study.
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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 @ShiyuHe1 @artsatbham @LCAHM_UoB
Excited to share that the paper I co-authored with Professor Aengus Ward @EstoriadEspanna has been published! 😀🎉 We explore how modern readers engage with medieval manuscripts using eye-tracking technology. Special thanks to @ooominds
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Latest paper from our team - and our first registered report - with @LauRomain @petarmilin and @dagmardivjak now out in @_LangLearning, open access! @artsatbham @EDACS_UoB @Eng_Lang_UoB
New paper out in @_LangLearning - OPEN ACCESS 🎉 Order effects in Language Learning, with @petarmilin and @LauRomain, funded by @LeverhulmeTrust, examines the effects of order of exposure on second language learners:
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Congratulations @ashleyrblake ! 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
Delighted to have passed my PhD viva with minor corrections. Enormous thanks to Emma Hayiou-Thomas and @H_Breadmore, for insightful discussions, and to @paul_ccr for chairing. Thank you to my supervisors, Ewa Dabrowska, @dagmardivjak and @NickRiches1 for all your support. 🙌
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