Parallel corpus from Social Insurance Agency -- Försäkringskassan (Sweden) (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 corpus from Social Insurance Agency (Sweden) (F...

Resource Type:Corpus
Media Type:Text
Languages:English
Swedish
English-Swedish corpus from Finnish Information Bank (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. http://www.infopankki.fi - Finland in your language - In...

Resource Type:Corpus
Media Type:Text
Languages:English
Swedish
CINTIL-UPos

CINTIL-UPos is a corpus of Portuguese that is annotated with the Universal Part-of-Speech tagset (UPOS), related to the Universal Dependency framework, and that contains around 1 million annotated tokens. It is described in this article: António Branco, João Ricardo Silva, Luís Gomes and Jo...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
Parallel texts from Swedish Labour market agency. Part 2 (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. Same as part 1, but with the Readme-file. (Processed)

Resource Type:Corpus
Media Type:Text
Languages:English
Finnish
French
German
Polish
Romanian
Spanish; Castilian
Swedish
GENIA POS & Term Corpus

A corpus of 2,000 MEDLINE abstracts, collected using the three MeSH terms human, blood cells and transcription factors. The corpus is available in three formats: 1) A text file containing part-of-speech (POS) annotation, based on the Penn Treebank format, 2) An XML file containing inline POS anno...

Resource Type:Corpus
Media Type:Text
Language:English
FLY corpus - morpho

FLY Corpus is a corpus composed by 2000 informal letters written in Portuguese, in the years spanning from 1900 to 1974, in the context of war, migration, imprisonment and exile. Each letter is in an XML file with two main parts: (a) the header, which contains metadata about the document (the ...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
Polish-English parallel corpus from the website of the National Security Bureau (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. Polish-English parallel corpus from the website of the N...

Resource Type:Corpus
Media Type:Text
Languages:English
Polish
English-Danish Parallel corpus from Tatoeba project (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 corpus from English-Danish translations from ta...

Resource Type:Corpus
Media Type:Text
Languages:Danish
English
LX-Battig

The LX-Battig was created from Battig test.set (Baroni et al., 2010). This data set has 83 concrete concepts of the following 10 categories: mammals, birds, fish, vegetables, fruit, trees, vehicles, clothes, tools and kitchenware. The categories names and the concepts were translated by two trans...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
News corpus categorised

The News corpus developed by LIACC in JSON format was complemented with POS and keyword topics annotation. POS-tagging =========== The POS-tagging used the tagger described in Généreux et al. (2012) The title and text body were extracted, tokenized and pos-tagged. Two new fields were added...

Resource Type:Corpus
Media Type:Text
Language:Portuguese

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