For running psychology and neuroscience experiments
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Updated
May 28, 2024 - Python
For running psychology and neuroscience experiments
The L’ART Research Assistant is a freely available open-source app that aims to make life easier for researchers working on bilingualism, sociolinguistics, language attitudes, and regional/minority/minoritized languages.
In this repository we keep the code for the implementation of the eye-tracking experiment for the COST action MultiplEYE. The eye-tracking-while-reading experiment is implemented using Python.
MA thesis on language and emotion using the dataset of the MECO L2 eye-tracking corpus (Kuperman et al. 2022).
Simulation tools for Mixed Models
Pseudo Random List Sorting Algorithm
Website https://pablobernabeu.github.io
Vue + Typescript implementation of Self Paced Reading experiments for the web
An R package for analyzing semantic and affective alignment between conversation partners in natural language transcripts
Expectation-based Minimalist Grammars
This incomplete repository is used to facilitate the consultation of individual files in this project. Only files smaller than 100 MB are available here. The complete project is available at http://doi.org/10.17605/OSF.IO/UERYQ.
This repository contains all experimental data, including every respondent's survey, the final data set in Excel or CSV format, and the analysis code in R.
TITANIS: A Tool for Intelligent Text Analysis in Social Media
Materials, de-identified data, and analyses for Gardner & Brown-Schmidt "Biased inferences about gender from names" (2024)
This incomplete repository is used to facilitate the consultation of individual files in this project. Only files smaller than 100 MB are available here. The complete project is available at https://doi.org/10.17605/OSF.IO/GT5UF.
On the Influence of Discourse Connectives on the Predictions of Humans and Language Models: The Role of Event Knowledge
This repository contains codes for extracting various linguistic features of text.
An R package for estimating the log-probabilities of words in a given context using transformer models.
Development package for the Barcelona Vocabulary Questonnaire (BVQ)
Data, materials, and analysis code for "Learning to comprehend and produce singular they"
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