Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Field |
|---|---|---|
2016 | LREC | Catalan,Computer science,Crowdsourcing,Machine translation,Artificial intelligence,Natural language processing,Corpus linguistics,Social media,Portuguese,Microblogging,Text corpus,Speech recognition,Linguistics |
DocType | Citations | PageRank |
Conference | 1 | 0.43 |
References | Authors | |
9 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iñaki San Vicente | 1 | 31 | 5.80 |
| Iñaki Alegria | 2 | 231 | 32.35 |
| Cristina España-Bonet | 3 | 46 | 14.35 |
| Pablo Gamallo | 4 | 139 | 29.27 |
| Hugo Gonçalo Oliveira | 5 | 127 | 27.72 |
| Eva Martínez Garcia | 6 | 8 | 3.66 |
| Antonio Toral | 7 | 116 | 10.00 |
| Arkaitz Zubiaga | 8 | 564 | 42.96 |
| Nora Aranberri | 9 | 20 | 6.94 |