Europarl-QTLeap WSD/NED corpus

The texts are sentences from the Europarl parallel corpus (Koehn, 2005). The textscontain the monolingual sentences from parallel corpora for the following pairs: Bulgarian-English, Czech-English, Portuguese-English and Spanish- English. The English corpus is comprised by the English side of th...

Resource Type:Corpus
Media Type:Text
Languages:Basque
Bulgarian
Czech
English
Portuguese
Spanish; Castilian
Elhuyar-QTLeap WSD/NED corpus

This corpus is created from documents from translation memorios of Elhuyar Fundation (obtained via Eleka, member of the Advisory Board of Potential Users).

Resource Type:Corpus
Media Type:Text
Languages:Basque
English
English-Slovak parallel corpus of texts from The Ministry of Justice of the Slovak Republic (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. Dataset of various English-Slovak legal texts within age...

Resource Type:Corpus
Media Type:Text
Languages:English
Slovak
LX-Rare Word Similarity Dataset

The LX-Rare Word Similarity Data set was created from Stanford Rare Word (RW) Similarity data set (Luong et al., 2013). This list contains 2 034 words (1 017 pairs of words). All the words were extracted from Wikipedia and from WordNet (Miller, 1995), a lexical database where the concepts are gro...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
The Coimisineir Teanga Bilingual Corpus of Reference Documents (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. General Reference content from the Language Commissioner...

Resource Type:Corpus
Media Type:Text
Languages:English
Irish
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
Monolingual documents from the Government of Lithuania (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. Monolingual documents received from the Government of th...

Resource Type:Corpus
Media Type:Text
Language:Lithuanian
SETimes.HR

We present SETimes.HR ― the first linguistically annotated corpus of Croatian that is freely available for all purposes. The corpus is built on top of the SETimes parallel corpus of nine Southeast European languages and English. It is manually annotated for lemmas, morphosyntactic tags, named ent...

Resource Type:Corpus
Media Type:Text
Language:Czech
A Repository of State of the Art and Competitive Baseline Summaries for DUC 2004

In the period since 2004, many novel sophisticated approaches for generic multi-document summarization have been developed. Intuitive simple approaches have also been shown to perform unexpectedly well for the task. Yet it is practically impossible to compare the existing approaches directly, bec...

Resource Type:Corpus
Media Type:Text
Language:English

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