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
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
Parallel corpora

Parallel corpora is a set of parallel texts in the domain of Law and Health, with 1 G per language. Languages: cs-pt, de-pt, en-pt, es-pt, fr-pt, it-pt, and pt-sk.

Resource Type:Corpus
Media Type:Text
Languages:Arabic
Chinese
Czech
English
French
German
Portuguese
Spanish; Castilian
XGLUE benchmark dataset

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained models with respect to cross-lingual natural language understanding and generation. XGLUE is composed of 11 tasks spans 19 languages. For each task, the training data is only available in English. This me...

Resource Type:Corpus
Media Type:Text
Languages:Arabic
Bulgarian
Chinese
Dutch; Flemish
English
French
German
Greek, Modern (1453-)
Hindi
Italian
Polish
Portuguese
Russian
Spanish; Castilian
Swahili
Thai
Turkish
Urdu
Vietnamese

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English (39)
French (24)
German (24)
Italian (19)
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Basque (11)
Finnish (11)
Polish (11)
Swedish (11)
Romanian (10)
Latvian (7)
Slovak (7)
Danish (6)
Irish (6)
Maltese (6)
Arabic (2)
Chinese (2)
Latin (2)
Hindi (1)
Russian (1)
Swahili (1)
Thai (1)
Turkish (1)
Urdu (1)