Our diverse research interests are connected by the field of natural language processing.
ETH Zurich – Institute for Machine Learning↗https://rycolab.io↗http://www.mrinmaya.io
//Information-Theoretic Linguistics//Computational Typology and Morphology//Statistics in NLP //Computational Social Science//Bias and Fairness//Machine learning models for NLP//Knowledge Discovery and Reasoning. //Machine Reading//Knowledge Extraction//NLP Applications in Education
UZH – Department of Computational Linguistics↗https://www.cl.uzh.ch/en/research-overview.html
Our research covers a broad range of topics in text technology, phonetics and speech sciences, and digital linguistics. Core research areas include digital humanities, machine translation and multilinguality, sentiment analysis, NLP for accessibility, machine learning for NLP, biomedical text mining, corpus linguistics, and eye-tracking based computational (psycho)linguistics and cognitive science.
