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
Basque Postedition corpus

Corpus of raw and manual post-edited translations (50.204 words). It was created by manual post-editing of the Basque outputs given by Matxin RBMT system translating 100 entries from the Spanish Wikipedia.

Resource Type:Corpus
Media Type:Text
Language:Basque
BDCamões Corpus - Collection of Portuguese Literary Documents from the Digital Library of Camões I.P. (Part I)

BDCamões Corpus is a collection of literary documents written in Portuguese, in plain text .txt format, with close to 4 million words from over 200 complete documents from 83 authors in 14 genres, covering a time span from the 15th to the 21st century, and adhering to different orthographic conve...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
BDCamões Corpus - Collection of Portuguese Literary Documents from the Digital Library of Camões I.P. (Part II)

BDCamões Corpus - Collection of Portuguese Literary Documents from the Digital Library of Camões I.P., is a collection of literary documents written in Portuguese, in plain text .txt format, with close to 4 million words from over 200 complete documents from 83 authors in 14 genres, covering a ti...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
BDCamões DependencyBank (Part I)

BDCamões Corpus - Collection of Portuguese Literary Documents from the Digital Library of Camões I.P., is a collection of literary documents written in Portuguese, in plain text .txt format, with close to 4 million words from over 200 complete documents from 83 authors in 14 genres, covering a ti...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
BDCamões DependencyBank (Part II)

BDCamões Corpus - Collection of Portuguese Literary Documents from the Digital Library of Camões I.P., is a collection of literary documents written in Portuguese, in plain text .txt format, with close to 4 million words from over 200 complete documents from 83 authors in 14 genres, covering a ti...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
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

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