Bilingual Bulgarian-English corpus from the National Revenue Agency (BG) (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. Bilingual Bulgarian-English corpus of administrative doc...

Resource Type:Corpus
Media Type:Text
Languages:Bulgarian
English
Malta Government Gazette (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. Bilingual gazette (English-Maltese) of the government of...

Resource Type:Corpus
Media Type:Text
Languages:English
Maltese
Czech Banking Association Terminology (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. Terms in Czech - English relating to finance

Resource Type:Corpus
Media Type:Text
Languages:Czech
English
Hallituskausi 2011-2015 -- Finnish-English Translation Memory (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. Information on the "Hallituskausi 2011–" translation mem...

Resource Type:Corpus
Media Type:Text
Languages:English
Finnish
GREC

GREC is a semantically annotated corpus of 240 MEDLINE abstracts (167 on the subject of E. coli species and 73 on the subject of the Human species) which is intended for training IE systems and/or resources which are used to extract events from biomedical literature.

Resource Type:Corpus
Media Type:Text
Language:English
A Tweet Dataset Annotated in Four Emotion Dimensions

A corpus of 2,019 tweets annotated along each of four emotion dimensions: Valence, Dominance, Arousal and Surprise. Two annotation schemes are used: a 5-point ordinal scale (using SAM manikins for Valence, Arousal and Dominance) and pair-wise comparisons with an "about the same" option (here 2,01...

Resource Type:Corpus
Media Type:Text
Language:English
Slovenian-English corpus with statistical reports from the Statistical Office of the Republic of Slovenia website (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. Slovenian-English corpus with statistical reports from t...

Resource Type:Corpus
Media Type:Text
Languages:English
Slovenian
Secretariat-General parallel corpus SL-EN and EN-SL (part 1) (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. English-Slovenian parallel corpus in TMX format from the...

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

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