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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Publisher: European Language Resources Association
Languages: English
Types: Unknown
Subjects: P1

Classified by OpenAIRE into

ACM Ref: InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL
We introduce TweetMT, a parallel corpus of tweets in four language pairs that combine five languages (Spanish from/to Basque, Catalan, Galician and Portuguese), all of which have an official status in the Iberian Peninsula. The corpus has been created by combining automatic collection and crowdsourcing approaches, and it is publicly available. It is intended for the development and testing of microtext machine translation systems. In this paper we describe the methodology followed to build the corpus, and present the results of the shared task in which it was tested.

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Funded by projects

  • EC | PHEME
  • EC | QTLEAP

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