This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. A collection of parallel Polish-English texts published ...
This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. A collection of Polish-English translations of the Polis...
This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. A collection of Polish-English translations of the Polis...
This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. Polish Food is a quarterly issued by the Polish Ministry...
Bilingual (EN-PT) corpus acquired from website (https://ec.europa.eu/commission/presscorner/) of the EU portal (14th May 2020).
Bilingual (EN-PT) corpus acquired from the website (https://www.europarl.europa.eu/) of the European Parliament (25th April 2020)
Bilingual (EN-PT) corpus acquired from the website (https://www.europarl.europa.eu/) of the European Parliament (9th May 2020)
Bilingual (EN-PT) corpus acquired from website (https://ec.europa.eu/*coronavirus-response) of the EU portal (20th May 2020).
The test set described in was used as the basis for the assessment of word embeddings. An example entry in this data set would read: ‘Berlin Germany Lisbon Portugal’. With these four words relations – as in this example – one can test semantic analogies by using any of the possible combinations o...
The LX-SimLex-999 was created from SimLex-999 (Hill et al., 2015) which, in turn, was based in the University of South Florida Free Association Database (USF) (Nelson et al., 2014). There were strict guidelines to create SimLex-999. Both words in each pair have the same morphosyntactic category ...