Ivana Kvapilíková Ivana Muzikářová
Main Research Interests
- Neural machine translation, unsupervised machine translation
- Multilingual representation learning
- Parallel corpus mining
- Domain adaptation of machine translation
Projects
Babel Octopus: Robust Multi-Source Speech Translation (START/SCI/089) The project proposes methods for creating a robust simultaneous multi-source speech-to-text translation. 1.4.2021 - 31.3.2023 Neural machine translation for low-resource languages (GAUK 1050119) The aim of the project is to investigate methods of training machine translation models with limited access to manually translated texts. 1.1.2019 - 31.12.2021 Neural Representations in Multi-modal and Multi-lingual Modelling (NEUREM3) (GAČR EXPRO 19-26934X) The NEUREM3 project encompasses basic research in speech processing (SP) and natural language processing (NLP) with accent on multi-linguality and multi-modality(speech and text processing with the support of visual information). 1.1.2019 - 31.12.2024
Curriculum Vitae
2018 – present PhD program in Computational Linguistics
Charles University in Prague, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics
Dissertation topic: Towards machine translation based on monolingual texts
2012 – 2015 Master's degree in Economics & Finance (summa cum laude)
2009 – 2012 Bachelor's degree in Economics (summa cum laude)
Charles University in Prague, Faculty of Social Sciences, Institute of Economic Studies
Master's thesis topic: Measuring systemic risk in time-frequency domain
2015
Study exchange at University of Otago, Dunedin, New Zealand 2013
Study exchange at Universdad de Granada, Granada, Spain
Selected Bibliography
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pp. 255-262, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-952148-03-3 (url, local PDF, obd, bibtex)
CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20. In: Fifth Conference on Machine Translation - Proceedings of the Conference, pp. 1123-1128, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-948087-81-0 (local PDF, obd, bibtex)
CUNI Systems for the Unsupervised News Translation Task in WMT 2019. In: Fourth Conference on Machine Translation - Proceedings of the Conference, pp. 241-248, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-950737-27-7 (pdf, obd, bibtex)