Education
2015 — 2017
European Masters in Language & Communication Technologies (Double MSc)
Second year: Saarland University
Thesis: Domain Adaptation for Multilingual Neural Machine Translation
Neural Networks, Algorithms for Computational Linguistics, Question Answering, Deep Learning for NLP
First year: University of The Basque Country
Computational Morphology & Syntax, AI, Automata, Computability & Complexity, Automated Reasoning, Machine Learning, Speech Technologies, Machine Translation, Intelligent Tutors, IR
2010 — 2015
Electrical Engineering (BSc), Budapest University of Technology and Economics
Calculus, Programming, Signals & Systems, Probability Theory, Infocommunication, HRI, Data Mining, Language Modeling
Thesis: Application and Optimization of Deep Neural Networks for Hungarian Language Speech Recognition Tasks
2011 — 2014
Theoretical Linguistics (BA), minor in Computer Science, Eötvös Loránd University
Phonology, Formal Semantics, Logic, Phonetics, Statistics, Discrete Mathematics, Data Structures & Algorithms, Web Programming
Thesis: Metaphors in Natural Language Processing
Independent Studies
Various online courses at Coursera and Udacity
NLP, Algorithm Design, R programming, OOP in Java, Hadoop & MapReduce
Experience
December 2016 — August 2017
Research Assistant, Saarland University
building and adapting multilingual neural machine translation systems for translating texts in the domain of psychology; generating parallel corpora from comparable articles
July 2014 — August 2015
Junior Research Fellow, Mindroom Kft.
deep learning based acoustic modeling for automatic speech recognition, speaker adaptation & identification, speaker diarization, named entity recognition
June 2014 — August 2014
Intern, AITIA International
developing neural network based speech recognition systems for close captioning broadcast media and transcribing telephone helpdesk conversations
Publications
See the Papers page.
Awards & Scholarships
2015 — 2017
Erasmus Mundus Master Scholarship
Full two-year scholarship for master-level studies awarded on a highly competitive basis (selected among ca. 150 eligible applications as the only EU national to receive the scholarship for the EM LCT program intake 2015)
