Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi. - Jesujoba O. Alabi; Kwabena Amponsah-Kaakyire; David Ifeoluwa Adelani; Cristina España-Bonet (CoRR, 2019)

Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of Yorùbá and Twi. - Jesujoba O. Alabi; Kwabena Amponsah-Kaakyire; David Ifeoluwa Adelani; Cristina España-Bonet (LREC, 2020)

Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification. - Daria Pylypenko; Kwabena Amponsah-Kaakyire; Koel Dutta Chowdhury; Josef van Genabith; Cristina España-Bonet (EMNLP (1), 2021)

Findings of the 2021 Conference on Machine Translation (WMT21). - Farhad Akhbardeh; Arkady Arkhangorodsky; Magdalena Biesialska; Ondrej Bojar; Rajen Chatterjee; Vishrav Chaudhary; Marta R. Costa-jussà; Cristina España-Bonet; Angela Fan; Christian Federmann; Markus Freitag; Yvette Graham; et al. (WMT@EMNLP, 2021)

Explaining Translationese: why are Neural Classifiers Better and what do they Learn? - Kwabena Amponsah-Kaakyire; Daria Pylypenko; Josef van Genabith; Cristina España-Bonet (BlackboxNLP@EMNLP, 2022)