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In this paper an innovative approach is presented for MT, which is based on pattern matching techniques, relies on extensive target language monolingual corpora and employs a series of similarity weights between the source and the target language. Our system is based on the notion of ‘patterns’, which are viewed as ‘models’ of target language strings, whose final form is defined by the corpus.