Anonymised ParaCrawl release 7 Portuguese-English

This corpus was run through BiRoamer https://github.com/bitextor/biroamer to anonymise the Portuguese-English parallel data from release 7 of the ParaCrawl project, specifically "Broader Web-Scale Provision of Parallel Corpora for European Languages". This version is filtered with BiCleaner with ...

Resource Type:Corpus
Media Type:Text
Languages:English
Portuguese
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
askIT Dataset

Collection of dialogues extracted from subreddits related to Information Technology (IT) and extracted with RDET (Reddit Dataset Extraction Tool). It is composed of 61,842,638 tokens in 179,358 dialogues.

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
Basque-English ParDeepBank

This resource is part of Deliverable 4.6 of the QTLeap FP7 project (Contract number 610516). In its current development (15% of the intended goal of the project), it is composed of 150 sentences (1,416 English tokens and 1,275 Basque tokens). The sentences are excerpts from journalistic text from...

Resource Type:Corpus
Media Type:Text
Languages:Basque
English
Bilingual Bulgarian-English corpus from the 2018 Proposal for a National Climate Change Adaptation Strategy and Action Plan from the website of the Bulgarian Ministry of Environment and Water (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 from the 2018 Proposa...

Resource Type:Corpus
Media Type:Text
Languages:Bulgarian
English
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
Bilingual collection of documents about the Cyprus Problem (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. A parallel corpus(Greek-English) regarding the Cyprus Pr...

Resource Type:Corpus
Media Type:Text
Languages:English
Greek, Modern (1453-)
Bilingual collection of reports of the Greek Public Power Corporation (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. A bilingual collection of translation units extracted fr...

Resource Type:Corpus
Media Type:Text
Languages:English
Greek, Modern (1453-)
Bilingual corpus made out of PDF documents from the European Medicines Agency, (EMEA), https://www.ema.europa.eu, (February 2020) (EN-PT)

EN-PT Bilingual corpus made out of PDF documents from the European Medicines Agency, (EMEA), https://www.ema.europa.eu, (February 2020).

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

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