BERT-NAR-BERT: A Non-Autoregressive Pre-Trained Sequence-to-Sequence Model Leveraging BERT Checkpoints - Mohammad Golam Sohrab; Masaki Asada; Matiss Rikters; Makoto Miwa (IEEE Access, 2024)

Annotations for Exploring Food Tweets from Multiple Aspects - Matiss Rikters; Rinalds Viksna; Edison Marrese-Taylor (Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy, 2024)

Revisiting Context Choices for Context-aware Machine Translation - Matiss Rikters; Toshiaki Nakazawa (Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy, 2024)

Tweeting on an Empty Stomach: Unpacking Food Price Hikes and Inflation via Twitter - Maija Kale; Matiss Rikters (Artificial Intelligence and Soft Computing - 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16-20, 2024, Proceedings, Part III, 2024)

Entity-aware Multi-task Training Helps Rare Word Machine Translation - Matiss Rikters; Makoto Miwa (Proceedings of the 17th International Natural Language Generation Conference, INLG 2024, Tokyo, Japan, September 23 - 27, 2024, 2024)

AIST AIRC Systems for the WMT 2024 Shared Tasks - Matiss Rikters; Makoto Miwa (Proceedings of the Ninth Conference on Machine Translation, WMT 2024, Miami, FL, USA, November 15-16, 2024, 2024)

Strategic Insights in Human and Large Language Model Tactics at Word Guessing Games - Matiss Rikters; Sanita Reinsone (CoRR, 2024)

Annotations for Exploring Food Tweets From Multiple Aspects - Matiss Rikters; Edison Marrese-Taylor; Rinalds Viksna (CoRR, 2024)

AIST AIRC Submissions to the WMT23 Shared Task - Matiss Rikters; Makoto Miwa (Proceedings of the Eighth Conference on Machine Translation, WMT 2023, Singapore, December 6-7, 2023, 2023)

What Food Do We Tweet about on a Rainy Day? - Maija Kale; Matiss Rikters (CoRR, 2023)

How Masterly Are People at Playing with Their Vocabulary? - Matiss Rikters; Sanita Reinsone (Balt. J. Mod. Comput., 2022)

Machine Translation for Livonian: Catering to 20 Speakers - Matiss Rikters; Marili Tomingas; Tuuli Tuisk; Valts Ernstreits; Mark Fishel (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022, 2022)

How Masterly Are People at Playing with Their Vocabulary? Analysis of the Wordle Game for Latvian - Matiss Rikters; Sanita Reinsone (CoRR, 2022)

Fragmented and Valuable: Following Sentiment Changes in Food Tweets - Maija Kale; Matiss Rikters (CoRR, 2021)

Revisiting Context Choices for Context-aware Machine Translation - Matiss Rikters; Toshiaki Nakazawa (CoRR, 2021)

The University of Tokyo's Submissions to the WAT 2020 Shared Task - Matiss Rikters; Toshiaki Nakazawa; Ryokan Ri (Proceedings of the 7th Workshop on Asian Translation, WAT@AACL/IJCNLP 2020, Suzhou, China, December 4, 2020, 2020)

Customized Neural Machine Translation Systems for the Swiss Legal Domain - Rubén Martínez-Domínguez; Matiss Rikters; Arturs Vasiclevskis; Marcis Pinnis; Paula Reichenberg (Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, AMTA 2020 - Volume 2: User Papers, Virtual, October, 2020, 2020)

What Can We Learn from Almost a Decade of Food Tweets - Uga Sprogis; Matiss Rikters (Human Language Technologies - The Baltic Perspective - Proceedings of the Ninth International Conference Baltic HLT 2020, Kaunas, Lithuania, September 22-23, 2020, 2020)

Document-aligned Japanese-English Conversation Parallel Corpus - Matiss Rikters; Ryokan Ri; Tong Li; Toshiaki Nakazawa (Proceedings of the Fifth Conference on Machine Translation, WMT@EMNLP 2020, Online, November 19-20, 2020, 2020)

What Can We Learn From Almost a Decade of Food Tweets - Uga Sprogis; Matiss Rikters (CoRR, 2020)

Designing the Business Conversation Corpus - Matiss Rikters; Ryokan Ri; Tong Li; Toshiaki Nakazawa (CoRR, 2020)

Document-aligned Japanese-English Conversation Parallel Corpus - Matiss Rikters; Ryokan Ri; Tong Li; Toshiaki Nakazawa (CoRR, 2020)

Hybrid Machine Translation by Combining Output from Multiple Machine Translation Systems - Matiss Rikters (Balt. J. Mod. Comput., 2019)

Designing the Business Conversation Corpus - Matiss Rikters; Ryokan Ri; Tong Li; Toshiaki Nakazawa (Proceedings of the 6th Workshop on Asian Translation, WAT@EMNLP-IJCNLP 2019, Hong Kong, China, November 4, 2019, 2019)

Tilde's Machine Translation Systems for WMT 2019 - Marcis Pinnis; Rihards Krislauks; Matiss Rikters (Proceedings of the Fourth Conference on Machine Translation, WMT 2019, Florence, Italy, August 1-2, 2019 - Volume 2: Shared Task Papers, Day 1, 2019)

Debugging Translations of Transformer-based Neural Machine Translation Systems - Matiss Rikters; Marcis Pinnis (Balt. J. Mod. Comput., 2018)

Debugging Neural Machine Translations - Matiss Rikters (Joint Proceedings of Baltic DB&IS 2018 Conference Forum and Doctoral Consortium co-located with the 13th International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2018), Trakai, Lithuania, July 1-4, 2018, 2018)

Effective Online Learning Implementation for Statistical Machine Translation - Toms Miks; Marcis Pinnis; Matiss Rikters; Rihards Krislauks (Databases and Information Systems - 13th International Baltic Conference, DB&IS 2018, Trakai, Lithuania, July 1-4, 2018, Proceedings, 2018)

Impact of Corpora Quality on Neural Machine Translation - Matiss Rikters (Human Language Technologies - The Baltic Perspective - Proceedings of the Eighth International Conference Baltic HLT 2018, Tartu, Estonia, 27-29 September 2018, 2018)

Advancing Estonian Machine Translation - Matiss Rikters; Marcis Pinnis; Roberts Rozis (Human Language Technologies - The Baltic Perspective - Proceedings of the Eighth International Conference Baltic HLT 2018, Tartu, Estonia, 27-29 September 2018, 2018)

Training and Adapting Multilingual NMT for Less-resourced and Morphologically Rich Languages - Matiss Rikters; Marcis Pinnis; Rihards Krislauks (Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018, 2018)

Tilde's Machine Translation Systems for WMT 2018 - Marcis Pinnis; Matiss Rikters; Rihards Krislauks (Proceedings of the Third Conference on Machine Translation: Shared Task Papers, WMT 2018, Belgium, Brussels, October 31 - November 1, 2018, 2018)

Debugging Neural Machine Translations - Matiss Rikters (CoRR, 2018)

Impact of Corpora Quality on Neural Machine Translation - Matiss Rikters (CoRR, 2018)

Visualizing Neural Machine Translation Attention and Confidence - Matiss Rikters; Mark Fishel; Ondrej Bojar (Prague Bull. Math. Linguistics, 2017)

Paying Attention to Multi-Word Expressions in Neural Machine Translation - Matiss Rikters; Ondrej Bojar (Proceedings of Machine Translation Summit XVI, Volume 1: Research Track, MTSummit 2017, September 18-22, 2017, Nagoya, Aichi, Japan, 2017)

Confidence through Attention - Matiss Rikters; Mark Fishel (Proceedings of Machine Translation Summit XVI, Volume 1: Research Track, MTSummit 2017, September 18-22, 2017, Nagoya, Aichi, Japan, 2017)

C-3MA: Tartu-Riga-Zurich Translation Systems for WMT17 - Matiss Rikters; Chantal Amrhein; Maksym Del; Mark Fishel (Proceedings of the Second Conference on Machine Translation, WMT 2017, Copenhagen, Denmark, September 7-8, 2017, 2017)

Confidence through Attention - Matiss Rikters; Mark Fishel (CoRR, 2017)

Paying Attention to Multi-Word Expressions in Neural Machine Translation - Matiss Rikters; Ondrej Bojar (CoRR, 2017)

Interactive Multi-System Machine Translation with Neural Language Models - Matiss Rikters (Databases and Information Systems IX - Selected Papers from the Twelfth International Baltic Conference, DB&IS 2016, Riga, Latvia, July 4-6, 2016, 2016)

K-Translate - Interactive Multi-system Machine Translation - Matiss Rikters (Databases and Information Systems - 12th International Baltic Conference, DB&IS 2016, Riga, Latvia, July 4-6, 2016, Proceedings, 2016)

Combining Machine Translated Sentence Chunks from Multiple MT Systems - Matiss Rikters; Inguna Skadina (Computational Linguistics and Intelligent Text Processing - 17th International Conference, CICLing 2016, Konya, Turkey, April 3-9, 2016, Revised Selected Papers, Part II, 2016)

Searching for the Best Translation Combination Across All Possible Variants - Matiss Rikters (Human Language Technologies - The Baltic Perspective - Proceedings of the Seventh International Conference Baltic HLT 2016, Riga, Latvia, October 6-7, 2016, 2016)

Neural Network Language Models for Candidate Scoring in Hybrid Multi-System Machine Translation - Matiss Rikters (Proceedings of the Sixth Workshop on Hybrid Approaches to Translation, HyTra@COLING, Osaka, Japan, December 11, 2016, 2016)

Syntax-based Multi-system Machine Translation - Matiss Rikters; Inguna Skadina (Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, Portorož, Slovenia, May 23-28, 2016, 2016)

Multi-system machine translation using online APIs for English-Latvian - Matiss Rikters (Proceedings of the Fourth Workshop on Hybrid Approaches to Translation, HyTra@ACL 2015, July 31, 2015, Beijing, China, 2015)