Personal profile
OECD Fields of Science
- 1.2 Computer and Information Sciences
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 5 Gender Equality
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Collaborations and top research areas from the last five years
Research output
- 5 Conference paper
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Open Terminology Management and Sharing Toolkit for Federation of Terminology Databases
Lagzdiņš, A., Silinš, U., Pinnis, M., Bergmanis, T., Vasiļevskis, A. & Vasiļjevs, A., 2022, 2022 Language Resources and Evaluation Conference Lrec 2022. p. 6310-6316 7 p. (2022 Language Resources and Evaluation Conference, LREC 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review
2 Citations (Scopus) -
Dynamic Terminology Integration for COVID-19 and other Emerging Domains
Bergmanis, T. & Pinnis, M., 2021, Wmt 2021 6th Conference on Machine Translation Proceedings. [Stroudsburg: Association for Computational Linguistics], p. 821-827 7 p. (WMT 2021 - 6th Conference on Machine Translation, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review
8 Citations (Scopus) -
Facilitating terminology translation with target lemma annotations
Bergmanis, T. & Pinnis, M., 2021, Eacl 2021 16th Conference of the European Chapter of the Association for Computational Linguistics Proceedings of the Conference. Stroudsburg: ACL, p. 3105-3111 7 p. (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review
Open Access47 Citations (Scopus) -
Mitigating Gender Bias in Machine Translation with Target Gender Annotations
Stafanovičs, A., Bergmanis, T. & Pinnis, M., 2020, 5th Conference on Machine Translation Wmt 2020 Proceedings. Barrault, L., Bojar, O., Bougares, F., Chatterjee, R., Costa-Jussa, M. R., Federmann, C., Fishel, M., Fraser, A., Graham, Y., Guzman, P., Haddow, B., Huck, M., Yepes, A. J., Koehn, P., Martins, A., Morishita, M., Monz, C., Nagata, M., Nakazawa, T. & Negri, M. (eds.). [Stroudsburg]: Association for Computational Linguistics, p. 629-638 (5th Conference on Machine Translation, WMT 2020 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review
51 Citations (Scopus) -
Robust neural machine translation: Modeling orthographic and interpunctual variation
Bergmanis, T., Stafanovičs, A. & Pinnis, M., 15 Sept 2020, Human Language Technologies - The Baltic Perspective - Proceedings of the 9th International Conference Baltic HLT 2020. Utka, A., Vaicenoniene, J., Kovalevskaite, J. & Kalinauskaite, D. (eds.). Amsterdam: IOS Press, Vol. 328. p. 80-86 (Frontiers in Artificial Intelligence and Applications; vol. 328).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review
Open Access5 Citations (Scopus)