Explaining Lexical Processing Times with Cognitively Plausible Computational Models. - Wietse de Vries (BNAIC/BENELEARN, 2019)

Cognitively Plausible Computational Models of Lexical Processing Can Explain Variance in Human Word Predictions and Reading Times. - Wietse de Vries (BNAIC/BENELEARN (Selected Papers), 2019)

Improving Cross-domain Authorship Attribution by Combining Lexical and Syntactic Features. - Martijn Bartelds; Wietse de Vries (CLEF (Working Notes), 2019)

BERTje: A Dutch BERT Model. - Wietse de Vries; Andreas van Cranenburgh; Arianna Bisazza; Tommaso Caselli; Gertjan van Noord; Malvina Nissim (CoRR, 2019)

What's so special about BERT's layers? A closer look at the NLP pipeline in monolingual and multilingual models. - Wietse de Vries; Andreas van Cranenburgh; Malvina Nissim (EMNLP (Findings), 2020)

Neural Representations for Modeling Variation in English Speech. - Martijn Bartelds; Wietse de Vries; Faraz Sanal; Caitlin Richter; Mark Y. Liberman; Martijn Wieling 001 (CoRR, 2020)

A Multilingual Approach to Identify and Classify Exceptional Measures against COVID-19. - Georgios Tziafas; Eugenie de Saint-Phalle; Wietse de Vries; Clara Egger; Tommaso Caselli (NLLP@EMNLP, 2021)

Adapting Monolingual Models: Data can be Scarce when Language Similarity is High. - Wietse de Vries; Martijn Bartelds; Malvina Nissim; Martijn Wieling 001 (ACL/IJCNLP (Findings), 2021)

As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages. - Wietse de Vries; Malvina Nissim (ACL/IJCNLP (Findings), 2021)

Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages. - Wietse de Vries; Martijn Wieling 001; Malvina Nissim (ACL (1), 2022)

Neural representations for modeling variation in speech. - Martijn Bartelds; Wietse de Vries; Faraz Sanal; Caitlin Richter; Mark Y. Liberman; Martijn Wieling 001 (J. Phonetics, 2022)

DUMB: A Dutch Model Benchmark. - Wietse de Vries; Martijn Wieling 001; Malvina Nissim (EMNLP, 2023)

DUMB: A Benchmark for Smart Evaluation of Dutch Models. - Wietse de Vries; Martijn Wieling 001; Malvina Nissim (CoRR, 2023)

Exploring Self-Supervised Speech Representations for Cross-lingual Acoustic-to-Articulatory Inversion. - Yun Hao; Reihaneh Amooie; Wietse de Vries; Thomas Tienkamp; Rik van Noord; Martijn Wieling 001 (INTERSPEECH, 2024)

Enhancing Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance. - Reihaneh Amooie; Wietse de Vries; Yun Hao; Jelske Dijkstra; Matt Coler; Martijn Wieling 001 (ICASSP, 2025)

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance. - Reihaneh Amooie; Wietse de Vries; Yun Hao; Jelske Dijkstra; Matt Coler; Martijn Wieling 001 (CoRR, 2025)