Quarterly Reports of the Parliamentary Budget Office (Hellenic Parliament) (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 collection of 32 reports (16 in EL and 16 In EL) of th...

Resource Type:Corpus
Media Type:Text
Languages:English
Greek, Modern (1453-)
QTLeap WSD/NED corpus

QTLeap WSD/NED corpus This corpora is part of Deliverable 5.5 of the European Commission project QTLeap FP7-ICT-2013.4.1-610516 (http://qtleap.eu). The texts are Q&A interactions from the real-user scenario (batches 1 and 2). The interactions in this corpus are available in Basque, Bulgar...

Resource Type:Corpus
Media Type:Text
Languages:Basque
Bulgarian
Czech
English
Portuguese
Spanish; Castilian
QTLeap specialized lexicons

This resource is part of Deliverable 5.7 of the European Comission project QTLeap FP7-ICT-2013.4.1-610516 (http://qtleap.eu). This gazetteer comprises multilingual lexicon entries used for the translation of specific IT domain expressions for Basque, Bulgarian, Czech, Dutch, Engli...

Resource Type:Lexical / Conceptual
Media Type:Text
Languages:Basque
Bulgarian
Czech
Dutch; Flemish
English
Portuguese
Spanish; Castilian
QTLeap Specialized lexicons

This resource comprises multilingual lexicon entries used for the translation of specific IT domain expressions. This gazetteer has been collected from four different sources: VLC, LibreOffice and KDE localization projects and IT domain Wikipedia articles.

Resource Type:Lexical / Conceptual
Media Type:Text
Languages:Basque
Czech
English
German
Portuguese
Spanish; Castilian
QTLeap News Corpus

This corpus is a sample extracted from the corpus made available by the annual workshops/conferences on Statistical Machine Translation (WMT, see \url{http://www.statmt.org/}) from the News domain. To this end, 1104 English sentences and their corresponding human translations into Czech, German a...

Resource Type:Corpus
Media Type:Text
Languages:Basque
Bulgarian
Czech
Dutch; Flemish
English
German
Portuguese
Spanish; Castilian
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
Public Procurement Dataset 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. A collection of parallel Polish-English texts published ...

Resource Type:Corpus
Media Type:Text
Languages:English
Polish
Public Procurement Dataset 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. A collection of parallel Polish-English texts published ...

Resource Type:Corpus
Media Type:Text
Languages:English
Polish
Portuguese to English Machine translation module

Technical Description: http://qtleap.eu/wp-content/uploads/2015/05/Pilot1_technical_description.pdf http://qtleap.eu/wp-content/uploads/2015/05/TechnicalDescriptionPilot2_D2.7.pdf http://qtleap.eu/wp-content/uploads/2016/11/TechnicalDescriptionPilot3_D2.10.pdf

Resource Type:Tool / Service
Languages:English
Portuguese
Portuguese RoBERTa language model

HuggingFace (pytorch) pre-trained roBERTa model in Portuguese, with 6 layers and 12 attention-heads, totaling 68M parameters. Pre-training was done on 10 million Portuguese sentences and 10 million English sentences from the Oscar corpus. Please cite: Santos, Rodrigo, João Rodrigues, Antóni...

Resource Type:Language Description
Media Type:Text
Languages:English
Portuguese

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