- Micha de Rijk, David Marecek. Using Word Embeddings and Collocations for Modelling Word Associations. Prague Bull. Math. Linguistics, 114:35, 2020.
- Fiammetta Namer, Nabil Hathout. ParaDis and Démonette - From Theory to Resources for Derivational Paradigms. Prague Bull. Math. Linguistics, 114:5-34, 2020.
- Daniel Kondratyuk, Ronald Cardenas, Ondrej Bojar. Replacing Linguists with Dummies: A Serious Need for Trivial Baselines in Multi-Task Neural Machine Translation. Prague Bull. Math. Linguistics, 113:31, 2019.
- Koji Arikawa. Graph Theory Teaches Us Something About Grammaticality. Prague Bull. Math. Linguistics, 112:55-82, 2019.
- Pavel Vondricka. Design of a Multiword Expressions Database. Prague Bull. Math. Linguistics, 112:83-101, 2019.
- Katerina Rysova, Magdaléna Rysová, Michal Novák, Jirí Mírovský, Eva Hajicová. EVALD - a Pioneer Application for Automated Essay Scoring in Czech. Prague Bull. Math. Linguistics, 113:9-30, 2019.
- Agata Savary, Silvio Ricardo Cordeiro, Timm Lichte, Carlos Ramisch, Uxoa Iñurrieta, Voula Giouli. Literal Occurrences of Multiword Expressions: Rare Birds That Cause a Stir. Prague Bull. Math. Linguistics, 112:5-54, 2019.
- Álvaro Peris, Francisco Casacuberta. NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning. Prague Bull. Math. Linguistics, 111:113-124, 2018.
- Berta González Saavedra, Marco Passarotti. Using Tectogrammatical Annotation for Studying Actors and Actions in Sallust's Bellum Catilinae. Prague Bull. Math. Linguistics, 111:5-28, 2018.
- Marie Mikulová, Eduard Bejcek, Eva Hajicová, Jarmila Panevová. Search for the Relation of Form and Function Using the ForFun Database. Prague Bull. Math. Linguistics, 110:71-84, 2018.