Titlebook: Advances in Artificial Intelligence -- SBIA 2010; 20th Brazilian Sympo Antônio Carlos Rocha Costa,Rosa Maria Vicari,Flavi Conference procee

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O. A. Rognli,E. Solberg,I. Schjelderup of states and actions. This is rarely the case in multiagent learning problems. For the multiagent case, standard approaches may not be adequate. As an alternative, it is possible to use techniques that generalize the state space to allow agents to learn through the use of abstractions. Thus, the f

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https://doi.org/10.1007/978-94-011-0966-6anslation approach is that a word is not only a token (its surface form) but a vector composed of different information such as lemma, part-of-speech or morphologic/syntactic tags. In this paper we present some experiments carried out to train and test factored translation models on Brazilian Portug