| Tildes machine translation systems for WMT 2019 M Pinnis, R Krišlauks, M Rikters Proceedings of the Fourth Conference on Machine Translation: Shared Task
, 2019 | 23 | 2019 |
| Tildes machine translation systems for WMT 2018 M Pinnis, M Rikters, R Krišlauks Proceedings of the Third Conference on Machine Translation: Shared Task
, 2018 | 23 | 2018 |
| Confidence through attention M Rikters, M Fishel Proceedings of the Machine Translation Summit XVI, 2017 | 18 | 2017 |
| Visualizing neural machine translation attention and confidence M Rikters, M Fishel, O Bojar The Prague Bulletin of Mathematical Linguistics 109 (1), 39-50, 2017 | 16 | 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 | 15 | 2018 |
| Paying attention to multi-word expressions in neural machine translation M Rikters, O Bojar Proceedings of the Machine Translation Summit XVI, 2017 | 12 | 2017 |
| Impact of corpora quality on neural machine translation M Rikters Human Language TechnologiesThe Baltic Perspective: Proceedings of the
, 2018 | 10* | 2018 |
| 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 | 7 | 2017 |
| Combining machine translated sentence chunks from multiple MT systems M Rikters, I Skadiņa International Conference on Intelligent Text Processing and Computational
, 2016 | 7 | 2016 |
| Debugging neural machine translations M Rikters Baltic DB&IS 2018 Joint Proceedings of the Conference Forum, 2018 | 5 | 2018 |
| Multi-system machine translation using online APIs for English-Latvian M Rikters Proceedings of the Fourth Workshop on Hybrid Approaches to Translation
, 2015 | 5 | 2015 |
| Syntax-based multi-system machine translation M Rikters, I Skadiņa Proceedings of the Tenth International Conference on Language Resources and
, 2016 | 4 | 2016 |
| Neural Network Language Models for Candidate Scoring in Hybrid Multi-System Machine Translation M Rikters Proceedings of the Sixth Workshop on Hybrid Approaches to Translation
, 2016 | 3 | 2016 |
| Designing the Business Conversation Corpus M Rikters, R Ri, T Li, T Nakazawa Proceedings of the 6th Workshop on Asian Translation, 5461, 2019 | 2 | 2019 |
| Hybrid Machine Translation by Combining Output from Multiple Machine Translation Systems M Rikters Baltic Journal of Modern Computing 7 (3), 301-341, 2019 | 2 | 2019 |
| Advancing Estonian Machine Translation M Rikters, M Pinnis, R Rozis Baltic HLT, 134-141, 2018 | 2 | 2018 |
| Interactive Multi-System Machine Translation with Neural Language Models. M Rikters DB&IS (Selected Papers), 269-280, 2016 | 2 | 2016 |
| K-Translate-Interactive Multi-System Machine Translation M Rikters International Baltic Conference on Databases and Information Systems, 304-318, 2016 | 2 | 2016 |
| Searching for the Best Translation Combination Across All Possible Variants. M Rikters Human Language TechnologiesThe Baltic Perspective: Proceedings of the
, 2016 | 2 | 2016 |
| Document-aligned Japanese-English Conversation Parallel Corpus M Rikters, R Ri, T Li, T Nakazawa arXiv preprint arXiv:2012.06143, 2020 | 1 | 2020 |
Mārcis PinnisTildeVerified email at tilde.lv
