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Eal.ca ABSTRACT This paper presents a study of three statistical query translation models that use different units of translation. We begin with a review of a word-based translation model that uses cooccurrence statistics for resolving translation ambiguities. The translation selection problem is then formulated under the framework of graphic model resorting to which the modeling assumptions and limitations of the co-occurrence model are discussed, and the research of finding better translation.
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