Jindřich Helcl

Main Research Interests

Neural machine translation and deep learning for NLP applications

Projects

• Neural Monkey - an open-source toolkit for sequence learning using TensorFlow

Teaching

• Compendium of Neural Machine Translation (link to SIS)

Selected Bibliography

1. Jindřich Libovický, Zdeněk Kasner, Jindřich Helcl, Ondřej Dušek (2020): Expand and Filter: CUNI and LMU Systems for the WNGT 2020 Duolingo Shared Task. In: Proceedings of the Fourth Workshop on Neural Generation and Translation, pp. 153-160, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-952148-17-0 (url, bibtex)
2. Jindřich Helcl, Jindřich Libovický, Martin Popel (2019): CUNI System for the WMT19 Robustness Task. In: Fourth Conference on Machine Translation - Proceedings of the Conference, pp. 738-742, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-950737-27-7 (local PDF, local PDF, obd, bibtex)
3. Jindřich Helcl, Jindřich Libovický, Tom Kocmi, Tomáš Musil, Ondřej Cífka, Dušan Variš, Ondřej Bojar (2018): Neural Monkey: The Current State and Beyond. In: The 13th Conference of The Association for Machine Translation in the Americas, Vol. 1: MT Researchers’ Track, pp. 168-176, The Association for Machine Translation in the Americas, Stroudsburg, PA, USA (local PDF, local PDF, obd, bibtex)
4. Jindřich Helcl, Jindřich Libovický, Dušan Variš (2018): CUNI System for the WMT18 Multimodal Translation Task. In: Proceedings of the Third Conference on Machine Translation, Volume 2: Shared Tasks, pp. 622-629, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-948087-81-0 (pdf, local PDF, local PDF, obd, bibtex)
5. Jindřich Libovický, Jindřich Helcl (2018): End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing EMNLP 2018, pp. 3016-3021, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-948087-84-1 (local PDF, local PDF, obd, bibtex)
6. Jindřich Libovický, Jindřich Helcl, David Mareček (2018): Input Combination Strategies for Multi-Source Transformer Decoder. In: Proceedings of the Third Conference on Machine Translation, Volume 1: Research Papers, pp. 253-260, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-948087-81-0 (local PDF, local PDF, obd, bibtex)
7. Jindřich Libovický, Rudolf Rosa, Jindřich Helcl, Martin Popel (2018): Solving Three Czech NLP Tasks End-to-End with Neural Models. In: Proceedings of the 18th conference ITAT 2018: Slovenskočeský NLP workshop (SloNLP 2018), pp. 138-143, CreateSpace Independent Publishing Platform, Košice, Slovakia, ISBN 978-1727267198 (pdf, local PDF, local PDF, obd, bibtex)
8. Ondřej Bojar, Jindřich Helcl, Tom Kocmi, Jindřich Libovický, Tomáš Musil (2017): Results of the WMT17 Neural MT Training Task. In: Proceedings of the Second Conference on Machine Translation, Volume 2: Shared Task Papers, pp. 525-533, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-96-8 (local PDF, obd, bibtex)
9. Jindřich Helcl, Jindřich Libovický (2017): CUNI System for the WMT17 Multimodal Translation Task. In: Proceedings of the Second Conference on Machine Translation, Volume 2: Shared Task Papers, pp. 450-457, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-96-8 (local PDF, obd, bibtex)
10. Jindřich Helcl, Jindřich Libovický (2017): Neural Monkey: An Open-source Tool for Sequence Learning. In: The Prague Bulletin of Mathematical Linguistics, ISSN 0032-6585, 107, pp. 5-17 (local PDF, obd, bibtex)
11. Jindřich Libovický, Jindřich Helcl (2017): Attention Strategies for Multi-Source Sequence-to-Sequence Learning. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 196-202, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-76-0 (local PDF, local PDF, obd, bibtex)
12. Antonio Valerio Miceli Barone, Jindřich Helcl, Rico Sennrich, Barry Haddow, Alexandra Birch (2017): Deep Architectures for Neural Machine Translation. In: Proceedings of the Second Conference on Machine Translation, Volume 1: Research Papers, pp. 99-107, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-96-8 (obd, bibtex)
13. Eleftherios Avramidis, Vivien Macketanz, Aljoscha Burchardt, Jindřich Helcl, Hans Uszkoreit (2016): Deeper Machine Translation and Evaluation for German. In: Proceedings of the 2nd Deep Machine Translation Workshop, pp. 29-38, ÚFAL MFF UK, Praha, Czechia, ISBN 978-80-88132-02-8 (obd, bibtex)
14. Ondřej Bojar, Ondřej Cífka, Jindřich Helcl, Tom Kocmi, Roman Sudarikov (2016): UFAL Submissions to the IWSLT 2016 MT Track. In: Proceedings of the ninth International Workshop on Spoken Language Translation (IWSLT), pp. 1-8, Karlsruhe Institute of Technology (pdf, obd, bibtex)
15. Jindřich Libovický, Jindřich Helcl, Marek Tlustý, Pavel Pecina, Ondřej Bojar (2016): CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks. In: Proceedings of the First Conference on Machine Translation (WMT). Volume 2: Shared Task Papers, pp. 646-654, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-10-4 (pdf, obd, bibtex)