Matīss Rikters
Matīss Rikters
Postdoctoral Researcher at The University of Tokyo
Verified email at - Homepage
Cited by
Cited by
Tilde’s machine translation systems for WMT 2018
M Pinnis, M Rikters, R Krišlauks
Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018
Visualizing neural machine translation attention and confidence
M Rikters, M Fishel, O Bojar
The Prague Bulletin of Mathematical Linguistics 109 (1), 39, 2017
Confidence through attention
M Rikters, M Fishel
Proceedings of the Machine Translation Summit XVI, 2017
Training and adapting multilingual NMT for less-resourced and morphologically rich languages
M Rikters, M Pinnis, R Krišlauks
Proceedings of the eleventh international conference on language resources …, 2018
Paying attention to multi-word expressions in neural machine translation
M Rikters, O Bojar
Proceedings of the Machine Translation Summit XVI, 2017
Impact of corpora quality on neural machine translation
M Rikters
Human Language Technologies–The Baltic Perspective: Proceedings of the …, 2018
Designing the Business Conversation Corpus
M Rikters, R Ri, T Li, T Nakazawa
Proceedings of the 6th Workshop on Asian Translation, 54–61, 2019
Hybrid Machine Translation by Combining Output from Multiple Machine Translation Systems
M Rikters
Baltic Journal of Modern Computing 7 (3), 301-341, 2019
Document-aligned Japanese-English conversation parallel corpus
M Rikters, R Ri, T Li, T Nakazawa
arXiv preprint arXiv:2012.06143, 2020
C-3MA: Tartu-Riga-Zurich translation systems for WMT17
M Rikters, C Amrhein, M Del, M Fishel
Proceedings of the Second Conference on Machine Translation, 382-388, 2017
Combining machine translated sentence chunks from multiple MT systems
M Rikters, I Skadiņa
Computational Linguistics and Intelligent Text Processing: 17th …, 2018
Debugging neural machine translations
M Rikters
Baltic DB&IS 2018 Joint Proceedings of the Conference Forum, 2018
Multi-system machine translation using online APIs for English-Latvian
M Rikters
Proceedings of the Fourth Workshop on Hybrid Approaches to Translation …, 2015
Syntax-based multi-system machine translation
M Rikters, I Skadiņa
Proceedings of the Tenth International Conference on Language Resources and …, 2016
What Can We Learn From Almost a Decade of Food Tweets
U Sproģis, M Rikters
Human Language Technologies–The Baltic Perspective: Proceedings of the Ninth …, 2020
K-Translate-Interactive Multi-system Machine Translation
M Rikters
Databases and Information Systems: 12th International Baltic Conference, DB …, 2016
Tracing multisensory food experiences on Twitter
M Kāle, J Šķilters, M Rikters
International Journal of Food Design 6 (2), 181-212, 2021
Revisiting context choices for context-aware machine translation
M Rikters, T Nakazawa
arXiv preprint arXiv:2109.02995, 2021
Fragmented and valuable: Following sentiment changes in food tweets
M Kāle, M Rikters
arXiv preprint arXiv:2106.04903, 2021
Japanese–English conversation parallel corpus for promoting context-aware machine translation research
M Rikters, R Ri, T Li, T Nakazawa
Journal of Natural Language Processing 28 (2), 380-403, 2021
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