Interactive-Predictive Translation Based on Multiple Word-Segments. - Miguel Domingo; Álvaro Peris; Francisco Casacuberta (EAMT, 2016)

Interactive neural machine translation. - Álvaro Peris; Miguel Domingo; Francisco Casacuberta (Comput. Speech Lang., 2017)

Segment-based interactive-predictive machine translation. - Miguel Domingo; Álvaro Peris; Francisco Casacuberta (Mach. Transl., 2017)

Historical Documents Modernization. - Miguel Domingo; Mara Chinea-Rios; Francisco Casacuberta (Prague Bull. Math. Linguistics, 2017)

Spelling Normalization of Historical Documents by Using a Machine Translation Approach. - Miguel Domingo; Francisco Casacuberta (EAMT, 2018)

A Machine Translation Approach for Modernizing Historical Documents Using Backtranslation. - Miguel Domingo; Francisco Casacuberta (IWSLT, 2018)

Demonstration of a Neural Machine Translation System with Online Learning for Translators. - Miguel Domingo; Mercedes García-Martínez; Amando Estela; Laurent Bié; Alexandre Helle; Álvaro Peris; Francisco Casacuberta; Manuel Herranz (ACL (3), 2019)

How Much Does Tokenization Affect Neural Machine Translation? - Miguel Domingo; Mercedes García-Martínez; Alexandre Helle; Francisco Casacuberta; Manuel Herranz (CICLing (1), 2019)

Enriching Character-Based Neural Machine Translation with Modern Documents for Achieving an Orthography Consistency in Historical Documents. - Miguel Domingo; Francisco Casacuberta (ICIAP Workshops, 2019)

Incremental Adaptation of NMT for Professional Post-editors: A User Study. - Miguel Domingo; Mercedes García-Martínez; Álvaro Peris; Alexandre Helle; Amando Estela; Laurent Bié; Francisco Casacuberta; Manuel Herranz (MTSummit (2), 2019)

An Interactive Machine Translation Framework for Modernizing Historical Documents. - Miguel Domingo; Francisco Casacuberta (CoRR, 2019)

A User Study of the Incremental Learning in NMT. - Miguel Domingo; Mercedes García-Martínez; Álvaro Peris; Alexandre Helle; Amando Estela; Laurent Bié; Francisco Casacuberta; Manuel Herranz (EAMT, 2020)

A Comparison of Character-Based Neural Machine Translations Techniques Applied to Spelling Normalization. - Miguel Domingo; Francisco Casacuberta (ICPR Workshops (7), 2020)

Modernizing historical documents: A user Study. - Miguel Domingo; Francisco Casacuberta (Pattern Recognit. Lett., 2020)

Two Demonstrations of the Machine Translation Applications to Historical Documents. - Miguel Domingo; Francisco Casacuberta (CoRR, 2021)

An Interactive Machine Translation Framework for Modernizing the Language of Historical Documents. - Miguel Domingo; Francisco Casacuberta (IbPRIA, 2022)

PRHLT's Submission to WLAC 2022. - Ángel Navarro; Miguel Domingo; Francisco Casacuberta (WMT, 2022)

Findings of the Covid-19 MLIA Machine Translation Task. - Francisco Casacuberta; Alexandru Ceausu; Khalid Choukri; Miltos Deligiannis; Miguel Domingo; Mercedes García-Martínez; Manuel Herranz; Guillaume Jacquet; Vassilis Papavassiliou; Stelios Piperidis; Prokopis Prokopidis; Dimitrios Roussis; et al. (CoRR, 2022)

Segment-based Interactive Machine Translation at a Character Level. - Ángel Navarro; Miguel Domingo; Francisco Casacuberta (EAMT, 2023)

PRHLT's Submission to WLAC 2023. - Ángel Navarro; Miguel Domingo; Francisco Casacuberta (WMT, 2023)

Interactive machine translation for the language modernization and spelling normalization of historical documents. - Miguel Domingo; Francisco Casacuberta (Pattern Anal. Appl., 2023)

Findings of a Machine Translation Shared Task Focused on Covid-19 Related Documents. - Francisco Casacuberta; Alexandru Ceausu; Khalid Choukri; Miltos Deligiannis; Miguel Domingo; Mercedes García-Martínez; Manuel Herranz; Guillaume Jacquet; Vassilis Papavassiliou; Stelios Piperidis; Prokopis Prokopidis; Dimitris Roussis; et al. (SEPLN Posters, 2024)

Large Language Models for Interactive Machine Translation. - Sergio Gómez González; Miguel Domingo; Ángel Navarro; Francisco Casacuberta (IbPRIA (2), 2025)

Two Spelling Normalization Approaches Based on Large Language Models. - Miguel Domingo; Francisco Casacuberta (CoRR, 2025)