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-)
NomLex-BR

A computational lexicon for Portuguese that provides mappings between verbs and their nominalizations.

Resource Type:Lexical / Conceptual
Media Type:Text
Languages:Brazilian Portuguese
Portuguese
Multilingual corpus from the Publications Office of the EU on the medical domain v.2

277780 sentence pairs (in 23 EN-X language pairs in total) extracted from the Publications Office of the EU on the medical domain. These are sourced from laws, studies, EC announcements, etc. labelled with concepts like epidemiology, epidemic, disease surveillance, health control, public hygiene,...

Resource Type:Corpus
Media Type:Text
Languages:Bulgarian
Croatian
Czech
Danish
Dutch; Flemish
English
Estonian
Finnish
French
German
Greek, Modern (1453-)
Hungarian
Irish
Italian
Latvian
Lithuanian
Maltese
Polish
Portuguese
Romanian
Slovak
Slovenian
Spanish; Castilian
Swedish
Arabic Tweets NER test set

Despite many recent papers on Arabic Named Entity Recognition (NER) in the news domain, little work has been done on microblog NER. NER on microblogs presents many complications such as informality of language, shortened named entities, brevity of expressions, and inconsistent capitalization (for...

Resource Type:Lexical / Conceptual
Media Type:Text
Language:Arabic
Bilingual documents Bulgarian-English in the field of open data, broadband and information society (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-Bulgarian collection in the field of open data, ...

Resource Type:Corpus
Media Type:Text
Languages:Bulgarian
English
An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis

An Arabic twitter data set of 7,503 tweets. The released data contains manual Sentiment Analysis annotations as well as automatically extracted features, saved in Comma Separated (CSV) and Attribute-Relation File Format (ARFF) file formats. Due to twitter privacy restrictions we replaced the orig...

Resource Type:Corpus
Media Type:Text
Language:Arabic
NoSta-D: German NER Dataset Train/Dev

Freely available large dataset, manually annotated for German NER. Includes nested span annotations. Source text from German Wikipedia and news. This data set does not contain the test data, which is used for the GermEval 2014 NER task at KONVENS. Test data will be available from September 2014.

Resource Type:Corpus
Media Type:Text
Language:German
Corpus of Semantic Graphs with associated English strings

Automatically generated corpus of 98,818 graph/string pairs.

Resource Type:Corpus
Media Type:Text
Language:American English
QTLeap Corpus V1.2

The QTLeap corpus is composed by 4000 question and answer pairs in the domain of computer and IT troubleshooting for both hardware and software. This material was collected using a support service via chat, this implies that the corpus is composed by naturally occurring utterances produced by use...

Resource Type:Corpus
Media Type:Text
Languages:Basque
Bulgarian
Czech
Dutch; Flemish
English
German
Portuguese
Spanish; Castilian
Bilingual documents Bulgarian-English in the field of ICT and Transport (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 collection of documents in the field of Intern...

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

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