Toms Bergmanis

According to our database, Toms Bergmanis authored at least 14 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Open and Competitive Multilingual Neural Machine Translation in Production.

Andre Tättar, Taido Purason, Hele-Andra Kuulmets, Agnes Luhtaru, Liisa Rätsep, Maali Tars, Marcis Pinnis, Toms Bergmanis, Mark Fishel

Balt. J. Mod. Comput., 2022

From Zero to Production: Baltic-Ukrainian Machine Translation Systems to Aid Refugees.

Toms Bergmanis, Marcis Pinnis

Balt. J. Mod. Comput., 2022

Open Terminology Management and Sharing Toolkit for Federation of Terminology Databases.

Andis Lagzdins, Uldis Silins, Toms Bergmanis, Marcis Pinnis, Arturs Vasilevskis, Andrejs Vasiljevs

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

MTee: Open Machine Translation Platform for Estonian Government.

Toms Bergmanis, Marcis Pinnis, Roberts Rozis, Janis Slapins, Valters Sics, Berta Bernane, Guntars Puzulis, Endijs Titomers, Andre Tättar, Taido Purason, Hele-Andra Kuulmets, Agnes Luhtaru, Liisa Rätsep, Maali Tars, Annika Laumets-Tättar, Mark Fishel

Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

2021

Dynamic Terminology Integration for COVID-19 and Other Emerging Domains.

Toms Bergmanis, Marcis Pinnis

Proceedings of the Sixth Conference on Machine Translation, 2021

Facilitating Terminology Translation with Target Lemma Annotations.

Toms Bergmanis, Marcis Pinnis

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Methods for morphology learning in low(er)-resource scenarios.

Toms Bergmanis

PhD thesis, 2020

Mitigating Gender Bias in Machine Translation with Target Gender Annotations.

Arturs Stafanovics, Marcis Pinnis, Toms Bergmanis

Proceedings of the Fifth Conference on Machine Translation, 2020

Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation.

Toms Bergmanis, Arturs Stafanovics, Marcis Pinnis

Proceedings of the Human Language Technologies - The Baltic Perspective, 2020

2019

Data Augmentation for Context-Sensitive Neural Lemmatization Using Inflection Tables and Raw Text.

Toms Bergmanis, Sharon Goldwater

CoRR, 2019

Training Data Augmentation for Context-Sensitive Neural Lemmatizer Using Inflection Tables and Raw Text.

Toms Bergmanis, Sharon Goldwater

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Context Sensitive Neural Lemmatization with Lematus.

Toms Bergmanis, Sharon Goldwater

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

From Segmentation to Analyses: a Probabilistic Model for Unsupervised Morphology Induction.

Toms Bergmanis, Sharon Goldwater

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Training Data Augmentation for Low-Resource Morphological Inflection.

Toms Bergmanis, Katharina Kann, Hinrich Schütze, Sharon Goldwater

Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, 2017