TeaP 2024 Regensburg
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Sunday, 17 March
Monday, 18 March
Tuesday, 19 March
Wednesday, 20 March
16:30 - 18:00
Talk Session 3
16:30 - 18:00
Mon-H8-Talk 3--35
Methods in reading and language research
{day_3l_code}-Talk 3
Room: H8
Chair/s:
Xenia Schmalz
16:30 - 16:45
Mon-H8-Talk 3-3501
Measuring orthographic depth
Xenia Schmalz
, LMU Klinikum
16:45 - 17:00
Mon-H8-Talk 3-3502
How to (Better) Norm Word Ratings
Jack Taylor
, Department for Psychology, Goethe University Frankfurt | School of Psychology and Neuroscience, University of Glasgow
17:00 - 17:15
Mon-H8-Talk 3-3503
Can we utilize Large Language Models (LLMs) to generate useful linguistic corpora? A case study of the word frequency effect in young German readers
Benjamin Gagl
, Self learning systems lab, Department of Special Education and Rehabilitation, University of Cologne
17:15 - 17:30
Mon-H8-Talk 3-3504
Evaluating the transparency and consistency of methods in developmental dyslexia studies
Camligüney Öykü
, LMU Klinikum | Ludwig-Maximilians-Universität München
17:30 - 17:45
Mon-H8-Talk 3-3505
Learning to Read Connections - Sensitivity to Collocation Frequency as Predictor for Reading Comprehension in Children
Alexandra Schmitterer
, University of Paderborn | DIPF | Leibniz Institute for Research and Information in Education | IDeA Center for Individual Development and Adaptive Education
17:45 - 18:00
Mon-H8-Talk 3-3506
Revisiting the orthographic prediction error in visual word recognition: Using computational modeling and deep learning to investigate visual processing in reading.
WANLU FU
, Self Learning Systems Lab, Department of Special Education and Rehabilitation, University of Cologne, Germany
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