Polish PARSEME corpus
The PARSEME corpus is a multilingual corpus annotated manually for verbal multiword expressions (VMWEs) in 18 languages including Polish. If was used in the PARSEME shared task on automatic identification of verbal multiword expressions. It was created due to a collective effort of the IC1207 COST action PARSEME. It contains in total 274,376 sentences, 5,439,204 tokens and 62,218 annotated VMWEs in 18 languages. It is openly available via LINDAT/CLARIN under various flavours of the Creative Common licence.
Agata Savary, Marie Candito, Verginica Barbu Mititelu, Eduard Bejček, Fabienne Cap, Slavomír Čéplö, Silvio Ricardo Cordeiro, Gülşen Eryiğit, Voula Giouli, Maarten van Gompel, Yaakov HaCohen-Kerner, Jolanta Kovalevskaite, Simon Krek, Chaya Liebeskind, Johanna Monti, Carla Parra Escartín, Lonneke van der Plas, Behrang QasemiZadeh, Carlos Ramisch, Federico Sangati, Ivelina Stoyanova, Veronika Vincze (2018) "PARSEME multilingual corpus of verbal multiword expressions", to appear in a special volume of Phraseology and Multiword Expressions, Language Science Press.
Savary, A., Ramisch, C., Ricardo Cordeiro, S., Sangati, F., Vincze, V., QuasemiZadeh, B., Candito, M., CAP, F., Giouli, V., Stoyanova, I., Doucet, A. (2017): "The PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions", in the Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017), 4 April 2017, Valencia, Spain. (bibtex)
The Polish subcorpus contains 13,606 sentences, 220,934 tokens and 3,649 VMWE annotations of 3 categories:
383 idioms (IDs) e.g. bujać w obłokach (lit. to swing in the clouds) 'to fantasise', kości zostały rzucone (lit dies were cast) ’the die is cast'
1,813 inherently reflexive verbs (IReflVs), e.g. śmiać się (lit. to laugh self) 'to laugh', bać się (lit. to fear self) 'to be afraid'
1,453 light verb constructions (LVCs), e.g. odnieść sukces (lit. to carried back a success) ’to be successful', sprawować patronat (lit. to performed patronage) ’to dispense patronage'.
The VMWE annotations are aligned with morphological and syntactic annotations in the CoNLL-U format. The morphological data (lemmas, POS, morphological features)) stem from the original corpora. The syntactic data (dependencies) were generated automatically with UDPipe usin a pre-trained Polish model.
The data are distributed under the terms of the CC-BY v4 license. The lemmas, POS-tags, morphological features, and dependency relations, contained in CONNL-U files, are distributed under the terms of the GNU GPL v.3 licence.
PARSEME corpus in 18 languages including Polish at LINDAT/CLARIN