| 2026 | LREC | Judging Instruction Responses in a Low-Resource Language: A Case Study on Basque. | David Ponce, Harritxu Gete, Thierry Etchegoyhen, Irune Zubiaga, Aitor Soroa |
| 2024 | ACL | Split and Rephrase with Large Language Models. | David Ponce, Thierry Etchegoyhen, Jesus Calleja, Harritxu Gete |
| 2024 | EAMT | Promoting Target Data in Context-aware Neural Machine Translation. | Harritxu Gete, Thierry Etchegoyhen |
| 2024 | EMNLP | Does Context Help Mitigate Gender Bias in Neural Machine Translation? | Harritxu Gete, Thierry Etchegoyhen |
| 2023 | EAMT | What Works When in Context-aware Neural Machine Translation? | Harritxu Gete, Thierry Etchegoyhen, Gorka Labaka |
| 2023 | RANLP | An Evaluation of Source Factors in Concatenation-Based Context-Aware Neural Machine Translation. | Harritxu Gete, Thierry Etchegoyhen |
| 2022 | LREC | TANDO: A Corpus for Document-level Machine Translation. | Harritxu Gete, Thierry Etchegoyhen, David Ponce, Gorka Labaka, Nora Aranberri, Ander Corral, Xabier Saralegi, Igor Ellakuria, Maite Martn |
| 2021 | RANLP | Online Learning over Time in Adaptive Neural Machine Translation. | Thierry Etchegoyhen, David Ponce, Harritxu Gete, Victor Ruiz Gmez |
| 2020 | LREC | To Case or not to case: Evaluating Casing Methods for Neural Machine Translation. | Thierry Etchegoyhen, Harritxu Gete |
| 2020 | LREC | Handle with Care: A Case Study in Comparable Corpora Exploitation for Neural Machine Translation. | Thierry Etchegoyhen, Harritxu Gete |
| 2018 | LREC | Using Discourse Information for Education with a Spanish-Chinese Parallel Corpus. | Shuyuan Cao, Harritxu Gete |