| Billions of parallel words for free: Building and using the eu bookshop corpus R Skadiņš, J Tiedemann, R Rozis, D Deksne Proceedings of the Ninth International Conference on Language Resources and …, 2014 | 68 | 2014 |
| Neural machine translation for morphologically rich languages with improved sub-word units and synthetic data M Pinnis, R Krišlauks, D Deksne, T Miks Text, Speech, and Dialogue: 20th International Conference, TSD 2017, Prague …, 2017 | 49 | 2017 |
| 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 | 38 | 2018 |
| Fasttext-based intent detection for inflected languages K Balodis, D Deksne Information 10 (5), 161, 2019 | 26 | 2019 |
| Dictionary of Multiword Expressions for Translation into highly Inflected Languages. D Deksne, R Skadins, I Skadina LREC, 2008 | 18 | 2008 |
| CFG Based Grammar Checker for Latvian D Deksne, R Skadiņš Proceedings of the 18th Nordic Conference of Computational Linguistics …, 2011 | 17 | 2011 |
| Error-annotated corpus of Latvian D Deksne, I Skadiņa Human Language Technologies–The Baltic Perspective, 163-166, 2014 | 15 | 2014 |
| Application of virtual agents for delivery of information services A Vasiljevs, I Skadina, D Deksne, M Kalis, I Vira New Challenges of Economic and Business Development, 667-678, 2017 | 13 | 2017 |
| Grammatical error correction and style transfer via zero-shot monolingual translation E Korotkova, A Luhtaru, M Del, K Liin, D Deksne, M Fishel arXiv preprint arXiv:1903.11283, 2019 | 11 | 2019 |
| Intent detection system based on word embeddings K Balodis, D Deksne Artificial Intelligence: Methodology, Systems, and Applications: 18th …, 2018 | 11 | 2018 |
| Finite state morphology tool for Latvian D Deksne Proceedings of the 11th International Conference on Finite State Methods and …, 2013 | 11 | 2013 |
| English/Russian-Latvian Machine Translation System R Skadiņš, I Skadiņa, D Deksne, T Gornostay Proceeding of the Third Baltic Conference on Human Language Technologies, 2007 | 11 | 2007 |
| A new phase in the development of a grammar checker for Latvian D Deksne Human Language Technologies–The Baltic Perspective, 147-152, 2016 | 10 | 2016 |
| Priedēkļverbu sentika un funkcionalitāte latviešu valodā D Deksne Latvijas Universitāte, 2021 | 7 | 2021 |
| Collection of resources and evaluation of customer support chatbot D Deksne, A Vasiļjevs Human Language Technologies–The Baltic Perspective, 30-37, 2018 | 7 | 2018 |
| Extended CFG formalism for grammar checker and parser development D Deksne, I Skadiņa, R Skadiņš Computational Linguistics and Intelligent Text Processing: 15th …, 2014 | 7 | 2014 |
| Foreign language reading tool–first step towards English-Latvian commercial machine translation system D Deksne, I Skadiņa, R Skadiņš, A Vasiļjevs Proceeding of the Second Baltic Conference on Human Language Technologies …, 2005 | 7 | 2005 |
| Bidirectional lstm tagger for latvian grammatical error detection D Deksne Text, Speech, and Dialogue: 22nd International Conference, TSD 2019 …, 2019 | 6 | 2019 |
| The modern electronic dictionary that always provides an answer D Deksne, I Skadiņa, A Vasiļjevs Kosem, I., J. Kallas, P. Gantar, S. Krek, M. Langemets and M. Tuulik (Eds …, 2013 | 6 | 2013 |
| Chat Language Normalisation using Machine Learning Methods. D Deksne ICAART (2), 965-972, 2019 | 5 | 2019 |
