Multi-system machine translation using online APIs for English-Latvian. - Matiss Rikters (HyTra@ACL, 2015)

K-Translate - Interactive Multi-system Machine Translation. - Matiss Rikters (DB&IS, 2016)

Interactive Multi-System Machine Translation with Neural Language Models. - Matiss Rikters (DB&IS (Selected Papers), 2016)

Combining Machine Translated Sentence Chunks from Multiple MT Systems. - Matiss Rikters; Inguna Skadina (CICLing (2), 2016)

Searching for the Best Translation Combination Across All Possible Variants. - Matiss Rikters (Baltic HLT, 2016)

Neural Network Language Models for Candidate Scoring in Hybrid Multi-System Machine Translation. - Matiss Rikters (HyTra@COLING, 2016)

Syntax-based Multi-system Machine Translation. - Matiss Rikters; Inguna Skadina (LREC, 2016)

Paying Attention to Multi-Word Expressions in Neural Machine Translation. - Matiss Rikters; Ondrej Bojar (MTSummit (1), 2017)

Confidence through Attention. - Matiss Rikters; Mark Fishel (MTSummit (1), 2017)

C-3MA: Tartu-Riga-Zurich Translation Systems for WMT17. - Matiss Rikters; Chantal Amrhein; Maksym Del; Mark Fishel (WMT, 2017)

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

Effective Online Learning Implementation for Statistical Machine Translation. - Toms Miks; Marcis Pinnis; Matiss Rikters; Rihards Krislauks (DB&IS, 2018)

Debugging Neural Machine Translations. - Matiss Rikters (Doctoral Consortium/Forum@DB&IS, 2018)

Impact of Corpora Quality on Neural Machine Translation. - Matiss Rikters (Baltic HLT, 2018)

Advancing Estonian Machine Translation. - Matiss Rikters; Marcis Pinnis; Roberts Rozis (Baltic HLT, 2018)

Training and Adapting Multilingual NMT for Less-resourced and Morphologically Rich Languages. - Matiss Rikters; Marcis Pinnis; Rihards Krislauks (LREC, 2018)

Tilde's Machine Translation Systems for WMT 2018. - Marcis Pinnis; Matiss Rikters; Rihards Krislauks (WMT (shared task), 2018)

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

Designing the Business Conversation Corpus. - Matiss Rikters; Ryokan Ri; Tong Li; Toshiaki Nakazawa (WAT@EMNLP-IJCNLP, 2019)

Tilde's Machine Translation Systems for WMT 2019. - Marcis Pinnis; Rihards Krislauks; Matiss Rikters (WMT (2), 2019)

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

The University of Tokyo's Submissions to the WAT 2020 Shared Task. - Matiss Rikters; Toshiaki Nakazawa; Ryokan Ri (WAT@AAC/IJCNLPL, 2020)

Customized Neural Machine Translation Systems for the Swiss Legal Domain. - Rubén Martínez-Domínguez; Matiss Rikters; Arturs Vasiclevskis; Marcis Pinnis; Paula Reichenberg (AMTA (2), 2020)

What Can We Learn from Almost a Decade of Food Tweets. - Uga Sprogis; Matiss Rikters (Baltic HLT, 2020)

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

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

Machine Translation for Livonian: Catering to 20 Speakers. - Matiss Rikters; Marili Tomingas; Tuuli Tuisk; Valts Ernstreits; Mark Fishel (ACL (2), 2022)

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

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

AIST AIRC Submissions to the WMT23 Shared Task. - Matiss Rikters; Makoto Miwa (WMT, 2023)

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

Revisiting Context Choices for Context-aware Machine Translation. - Matiss Rikters; Toshiaki Nakazawa (LREC/COLING, 2024)

Annotations for Exploring Food Tweets from Multiple Aspects. - Matiss Rikters; Rinalds Viksna; Edison Marrese-Taylor (LREC/COLING, 2024)

Tweeting on an Empty Stomach: Unpacking Food Price Hikes and Inflation via Twitter. - Maija Kale; Matiss Rikters (ICAISC (3), 2024)

Entity-aware Multi-task Training Helps Rare Word Machine Translation. - Matiss Rikters; Makoto Miwa (INLG, 2024)

AIST AIRC Systems for the WMT 2024 Shared Tasks. - Matiss Rikters; Makoto Miwa (WMT, 2024)

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)

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

Image-Text Relation Prediction for Multilingual Tweets. - Matiss Rikters; Edison Marrese-Taylor (CoRR, 2025)