Materials for "DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages" at EMNLP'22 🗺️

A simple, lightweight, type-safe behavioral data tracking library for web apps, with a modular architecture for performance and minimal bundle size.

R Package with auxiliary functions to facilitate data pre-processing and analysis of behavioral data

✅ Behavioral face recognition opendata and code for Matsuyoshi & Watanabe (2021) Psychol Res

Python/R scripts for neural/behavioral data analysis from the Photographer Paradigm

Analysis of behavioral data (reaction time and accuracy) in the RDM task, including investigation of the learning effect and fitting RDM and Wang models to the data.