Jindřich Helcl, Ph.D.
Principal Lecturer
Jindřich teaches Machine Learning to computing Master's students at the school of Business, Management at Technology. He has an extensive international academic background, complemented by experience as a developer. In addition, he undertook an internship at Google where he investigated deep learning for NLP and at Microsoft where he researched non-autoregressive models for neural machine translation.
His past internships highlight his research interests in neural machine translation and the application of deep learning techniques to natural language processing (NLP) challenges.
Education
Charles University, CZ — Master (Mgr.)
Charles University, CZ — Bachelor (Bc.)
Professional Activities
2020 - 2022 — University of Edinburgh, Research Associate
2017 - 2018 — Google, four-month research internship
2016 — Deutsche Forschungszentrum fur Kunstliche Intelligenz (DFKI), Berlin, Research Fellow
2012 - 2016 — IBM Prague R&D Lab, Java/C++ Developer
2014 - 2015 — Technological agency of the Czech Republic (TACR), Data Analysis Expert
2011 - 2012 — Intya, PHP developer
Research & Practice
Selected Journals & Conference Presentations:
Nikolay Arefyev, Pinzhen Chen, Ona De Gibert Bonet, Barry Haddow, Jindřich Helcl, Bhavitvya Malik, Gema Ramírez-Sánchez, Pavel Stepachev, Jörg Tiedemann, Dušan Variš, Jaume Zaragoza-Bernabeu (2024): HPLT’s First Release of Data and Models. In: Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), pp. 53-54, European Association for Machine Translation (EAMT), UK.
Jindřich Libovický, Jindřich Helcl: Lexically Grounded Subword Segmentation. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
Jindřich Helcl, Barry Haddow, Alexandra Birch: Non-Autoregressive Machine Translation: It’s Not as Fast as it Seems. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL).
Barry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, Jindřich Helcl, Alexandra Birch: Survey of Low-Resource Machine Translation. In Computational Linguistics, Vol. 48, No. 3, 2022.
Jindřich Libovický, Jindřich Helcl: End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018.
Jindřich Libovický, Jindřich Helcl: Attention Strategies for Multi-Source Sequence-to- Sequence Learning. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), 2017.
Selected Peer Reviews:
Jindřich Helcl, Zdeňek Kasner, Ondřej Dušek, Tomasz Limisiewicz, Dominik Macháčcek, Tomáš Musil, Jindřich Libovický: Teaching LLMs at Charles University: Assignments and Activities. In Proceedings of the Sixth Workshop on Teaching NLP (TeachNLP), 2023.
Pinzen Chen, Jindřich Helcl, Ulrich Germann, Laurie Burchell, Nikolay Bogoychev, Antonio Valerio Miceli Barone, Jonas Waldendorf, Alexandra Birch, Kenneth Heafield: The University of Edinburgh’s English-German and English-Hausa submissions to the WMT21 news translation task. In Proceedings of the Sixth Conference on Machine Translation (WMT), 2021.
Jindřich Libovický, Jindřich Helcl, David Mareček: Input Combination Strategies for Multi- Source Transformer Decoder. In Proceedings of the Third Conference on Machine Translation (WMT), 2018.
Antonio Valerio Miceli Barone, Jindřich Helcl, Rico Sennrich, Barry Haddow and Alexandra Birch: Deep Architectures for Neural Machine Translation. In Proceedings of the Second Conference on Machine Translation (WMT), 2017.
Awards & Academic Service:
2017 – present Revieving for ARR (*CL, EMNLP), COLING, LREC
2022, 2024 Main organiser of the MT Marathon in Prague, Czech Republic
2022: Steven Krauwer Award, awarded at the CLARIN Annual Conference to the UFAL for Ukraine team for the Czech–Ukrainian translation tool built in response to the Russian invasion to Ukraine in 2022 and the subsequent refugee crisis in the Czech Republic.
2017: Outstanding paper, for “Attention Strategies for Multi-Source Sequence-to-Sequence Learning” at the ACL Conference, Canada.
2017 Co-organiser of the WMT17 Neural MT Training Task.
2017 Presented the Neural Machine Translation tutorial at RANLP 2017 in Varna, Bulgaria.
