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2020 – today
- 2024
[c15]David Ponce, Thierry Etchegoyhen, Jesus Calleja, Harritxu Gete:
Split and Rephrase with Large Language Models. ACL (1) 2024: 11588-11607- [c14]Harritxu Gete, Thierry Etchegoyhen:
Promoting Target Data in Context-aware Neural Machine Translation. EAMT (1) 2024: 9-23 - [c13]Harritxu Gete, Thierry Etchegoyhen:
Does Context Help Mitigate Gender Bias in Neural Machine Translation? EMNLP (Findings) 2024: 14788-14794 - [c12]Aitor Álvarez, Thierry Etchegoyhen, Joaquín Arellano, Victor Ruiz Gómez, Haritz Arzelus, David Ponce, Ander González-Docasal, Harritxu Gete Ugarte:
STREAMS: Live Streaming and Micro-batching with Automated Multilingual Services. SEPLN (Projects and Demonstrations) 2024: 148-153 - [c11]David Ponce, Harritxu Gete, Thierry Etchegoyhen:
Vicomtech@WMT 2024: Shared Task on Translation into Low-Resource Languages of Spain. WMT 2024: 934-942 - [i3]Harritxu Gete
, Thierry Etchegoyhen:
Promoting Target Data in Context-aware Neural Machine Translation. CoRR abs/2402.06342 (2024) - [i2]Harritxu Gete, Thierry Etchegoyhen:
Does Context Help Mitigate Gender Bias in Neural Machine Translation? CoRR abs/2406.12364 (2024) - 2023
- [c10]Harritxu Gete, Thierry Etchegoyhen, Gorka Labaka:
What Works When in Context-aware Neural Machine Translation? EAMT 2023: 147-156 - [c9]Harritxu Gete, Thierry Etchegoyhen:
An Evaluation of Source Factors in Concatenation-Based Context-Aware Neural Machine Translation. RANLP 2023: 399-407 - [i1]David Ponce, Thierry Etchegoyhen, Jesús Calleja-Perez, Harritxu Gete:
Split and Rephrase with Large Language Models. CoRR abs/2312.11075 (2023) - 2022
- [j2]Harritxu Gete, Thierry Etchegoyhen:
Making the most of comparable corpora in Neural Machine Translation: a case study. Lang. Resour. Evaluation 56(3): 943-971 (2022) - [c8]Harritxu Gete, Thierry Etchegoyhen, David Ponce, Gorka Labaka, Nora Aranberri, Ander Corral, Xabier Saralegi, Igor Ellakuria, Maite Martín:
TANDO: A Corpus for Document-level Machine Translation. LREC 2022: 3026-3037 - [c7]Aitor Álvarez, Victor Ruiz Gómez, Iván González Torre, Thierry Etchegoyhen, Harritxu Gete, Joaquín Arellano:
iASSIST: Low-cost, portable and embedded assistants for on-premise automated transcription and translation services. SEPLN (Projects and Demonstrations) 2022: 75-78 - 2021
- [c6]Thierry Etchegoyhen, Haritz Arzelus, Harritxu Gete Ugarte, Aitor Álvarez, Ander González-Docasal, Edson Benites Fernandez:
mintzai-ST: Corpus and Baselines for Basque-Spanish Speech Translation. IberSPEECH 2021 - [c5]Thierry Etchegoyhen, David Ponce, Harritxu Gete, Victor Ruiz Gómez:
Online Learning over Time in Adaptive Neural Machine Translation. RANLP 2021: 411-420 - [c4]Thierry Etchegoyhen, David Ponce, Harritxu Gete Ugarte, Victor Ruiz Gómez:
ITAI: Adaptive Neural Machine Translation Platform. SEPLN (Projects and Demonstrations) 2021: 49-52 - 2020
- [j1]Thierry Etchegoyhen, Haritz Arzelus, Harritxu Gete, Aitor Álvarez, Inma Hernáez, Eva Navas, Ander González-Docasal, Jaime Osácar, Edson Benites, Igor Ellakuria, Eusebi Calonge, Maite Martín:
MINTZAI: Sistemas de Aprendizaje Profundo E2E para Traducción Automática del Habla. Proces. del Leng. Natural 65: 97-100 (2020) - [c3]Thierry Etchegoyhen, Harritxu Gete:
To Case or not to case: Evaluating Casing Methods for Neural Machine Translation. LREC 2020: 3752-3760 - [c2]Thierry Etchegoyhen, Harritxu Gete:
Handle with Care: A Case Study in Comparable Corpora Exploitation for Neural Machine Translation. LREC 2020: 3799-3807
2010 – 2019
- 2018
- [c1]Shuyuan Cao, Harritxu Gete:
Using Discourse Information for Education with a Spanish-Chinese Parallel Corpus. LREC 2018
Coauthor Index
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