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ORCIDThe Prague Bulletin of Mathematical Linguistics, Volume 115
Volume 115, October 2020
- Lukás Kyjánek, Zdenek Zabokrtský, Magda Sevcíková, Jonás Vidra:
Universal Derivations 1.0, A Growing Collection of Harmonised Word-Formation Resources. 5-30 - Esaú Villatoro-Tello, Shantipriya Parida, Petr Motlícek, Ondrej Bojar:
Inferring Highly-dense Representations for Clustering Broadcast Media Content. 31-50 - Isaac K. E. Ampomah, Sally I. McClean, Zhiwei Lin, Glenn I. Hawe:
Every Layer Counts: Multi-Layer Multi-Head Attention for Neural Machine Translation. 51-82 - Matea Filko, Kresimir Sojat, Vanja Stefanec:
The Design of Croderiv 2.0. 83-104 - Hamid Haghdoost, Ebrahim Ansari, Zdenek Zabokrtský, Mahshid Nikravesh, Mohammad Mahmoudi:
Morphological Networks for Persian and Turkish: What Can Be Induced from Morpheme Segmentation? 105-128 - Vilém Zouhar, Michal Novák:
Extending Ptakopět for Machine Translation User Interaction Experiments. 129-142 - David Marecek, Hande Çelikkanat, Miikka Silfverberg, Vinit Ravishankar, Jörg Tiedemann:
Are Multilingual Neural Machine Translation Models Better at Capturing Linguistic Features? 143-162 - Eleonora Litta, Marco Passarotti, Francesco Mambrini:
Derivations and Connections: Word Formation in the LiLa Knowledge Base of Linguistic Resources for Latin. 163-186 - Eva Hajicová, Jirí Mírovský, Barbora Stepánková:
Focalizers and Discourse Relations. 187-
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