no code implementations • EAMT 2020 • Nora Aranberri
Results show that texts produced with MT seem to fit closer to certain traits of the foreign language and that differences in the use of part-of-speech categories and structures emerge.
1 code implementation • LREC 2022 • Harritxu Gete, Thierry Etchegoyhen, David Ponce, Gorka Labaka, Nora Aranberri, Ander Corral, Xabier Saralegi, Igor Ellakuria, Maite Martin
Document-level Neural Machine Translation aims to increase the quality of neural translation models by taking into account contextual information.
no code implementations • LREC 2016 • Nora Aranberri, Eleftherios Avramidis, Aljoscha Burchardt, Ond{\v{r}}ej Klejch, Martin Popel, Maja Popovi{\'c}
This work addresses the need to aid Machine Translation (MT) development cycles with a complete workflow of MT evaluation methods.
no code implementations • LREC 2016 • I{\~n}aki San Vicente, I{\~n}aki Alegr{\'\i}a, Cristina Espa{\~n}a-Bonet, Pablo Gamallo, Hugo Gon{\c{c}}alo Oliveira, Eva Mart{\'\i}nez Garcia, Antonio Toral, Arkaitz Zubiaga, Nora Aranberri
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.
no code implementations • LREC 2016 • Arantxa Otegi, Nora Aranberri, Antonio Branco, Jan Haji{\v{c}}, Martin Popel, Kiril Simov, Eneko Agirre, Petya Osenova, Rita Pereira, Jo{\~a}o Silva, Steven Neale
This work presents parallel corpora automatically annotated with several NLP tools, including lemma and part-of-speech tagging, named-entity recognition and classification, named-entity disambiguation, word-sense disambiguation, and coreference.
no code implementations • LREC 2014 • I{\~n}aki Alegria, Nora Aranberri, Pere Comas, V{\'\i}ctor Fresno, Pablo Gamallo, Lluis Padr{\'o}, I{\~n}aki San Vicente, Jordi Turmo, Arkaitz Zubiaga
It was created for Tweet-Norm, a tweet normalization workshop and shared task, and is the result of a joint annotation effort from different research groups.