Maria Asunción Castaño

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A simple neural translator called RECONTRA (REcurrent CONnectionist TRAnslator) has recently shown to successfully approach simple text-to-text limited-domain Machine Translation tasks. In this approach the vocabularies involved in the translations were represented according to (simple and clear) local codifications. However, in order to deal with large(More)
Encouragingly accurate translations have recently been obtained using a connectionist translator called RECONTRA (Recurrent Connectionist Translator). In order to deal with tasks of medium or large vocabularies, distributed representations of the lexicons are required in this translator. A simple connectionist model has been recently designed to(More)
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