Modelo estocástico de traducción basado en N-gramas de tuplas bilinges y combinación log-lineal de características

This communication introduces a stochastic machine translation system based on Ngram modelling of the joint probability of bilingual texts. The basic unit of this model is called a tuple and consists of a pair of both source (to be translated) language and target language (translation) word-strings. Translation is driven by a log-linear combination of the N-gram model probability and other features, according to the maximum entropy language modelling approach. The translation performance is evaluated by means of a speech-to-speech translation tasks: translation from Spanish to English (and viceversa) of European Parliament speeches. The system reaches a state-of-art performance.