Giacomo Furlan — PhD Student. Giacomo supports proof-of-concept studies with Italian. His research is on deep learning language models for morphological disambiguation in multiple languages.
Jue Hou — PhD student. Jue's research focuses on modeling learner proficiency and novel approaches to language modeling with deep-learning neural nets. He also works on scalability of Revita's back end, and on educational data science — to analyze and model the data collected from proof-of-concept studies with real learners.
Silja Huttunen — PhD (University of Helsinki). Organizing user studies and experiments with teachers and learners.
Anisia Katinskaia — PhD Student. Anisia works on all aspects of user studies involving Russian and Finnish. Her research is on deep-learning language models for detection of grammatical errors. Revita needs to identify "alternative-correct" answers — important settings in learning, where there is more than one correct answer.
Ilmari Kylliäinen — MS student. Ilmari works with the TOSKA Group, under the lead of Dr Matti Luukkainen. Ilmari and TOSKA bring the latest in front-end technologies and software engineering into Revita — to create a friendly user experience (UX) for learners and teachers. He has a MS degree in Language Technology.
Ilmari Kylliäinen's Research portal profile
Anh-Duc Vu — PhD Student. Duc works on Bayesian networks and deep learning modeling of the learner proficiency and progress, which is essential for the personalization aspect in the Revita Project — learner competency must be modeled as accurately as possible to provide suitable exercises and feedback.
Duc's MS Thesis (2020) on "
Project lead. Professor, the Department of Digital Humanities, University of Helsinki (UH). He holds the Chair in Linguistic Inequalities and Translation Technologies at
Some of our main collaborators: local, at the University of Helsinki (UH), and international.
Remote Studies — current work with groups of learners at other universities, collecting feedback from them and researching their progress.
All of our colleagues and collaborators typically work on multiple problems and aspects of the Project at the same time, and contribute to many areas. We list here some of them here: