TinySVM: Support Vector Machines

TinySVM is an implementation of Support Vector Machines (SVMs) (Vapnik, 1995; Vapnik, 1998) for the problem of pattern recognition.

Resource Type:Tool / Service
COVID-19 EU presscorner v2 dataset. Bilingual (EN-PT)

Bilingual (EN-PT) corpus acquired from website (https://ec.europa.eu/commission/presscorner/) of the EU portal (8th July 2020).

Resource Type:Corpus
Media Type:Text
Languages:English
Portuguese
UIMA/U-Compare Stanford Parser

Syntactic parser for English. Outputs dependency relations. Also outputs parts-of-speech for each token. The tool is provided as a UIMA component, specifically as Java archive (jar) file, which can be incorporated within any UIMA workflow. However, it is particularly designed use in the U-Com...

Resource Type:Tool / Service
Language:English
Natolin European Centre Dataset (Processed)

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. The Polish-English parallel corpus is composed of three ...

Resource Type:Corpus
Media Type:Text
Language:Polish
Parallel Global Voices (Bulgarian - English) (Processed)

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. Parallel Global Voices BG-EN is a parallel corpus genera...

Resource Type:Corpus
Media Type:Text
Languages:Bulgarian
English
National Health Fund Dataset (Processed)

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. The dataset is a 274K-token Polish-English parallel reso...

Resource Type:Corpus
Media Type:Text
Languages:English
Polish

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