Automatic Discrimination of Human and Neural Machine Translation: A Study with Multiple Pre-Trained Models and Longer Context

1 code implementation • EAMT 2022 • Tobias van der Werff, Rik van Noord, Antonio Toral

We address the task of automatically distinguishing between human-translated (HT) and machine translated (MT) texts.

Machine Translation Sentence

MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages

no code implementations • EAMT 2022 • Marta Bañón, Miquel Esplà-Gomis, Mikel L. Forcada, Cristian García-Romero, Taja Kuzman, Nikola Ljubešić, Rik van Noord, Leopoldo Pla Sempere, Gema Ramírez-Sánchez, Peter Rupnik, Vít Suchomel, Antonio Toral, Tobias van der Werff, Jaume Zaragoza

We introduce the project “MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages”, funded by the Connecting Europe Facility, which is aimed at building monolingual and parallel corpora for under-resourced European languages.

Writer adaptation for offline text recognition: An exploration of neural network-based methods

1 code implementation • 11 Jul 2023 • Tobias van der Werff, Maruf A. Dhali, Lambert Schomaker

In this paper, we explore how HTR models can be made writer adaptive by using only a handful of examples from a new writer (e. g., 16 examples) for adaptation.

Automatic Speech Recognition Handwriting Recognition +6