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University of Stuttgart - Machine Translation Reading Group

Andreas Maletti - Tree Transducers in Machine Translation

Andreas Maletti
University of Stuttgart

Tree Transducers in Machine Translation

Abstract:

We review several model of tree transducers with respect to properties that are relevant in machine translation. These properties include: suitable expressiveness, symmetry, preservation of regularity, and closure under composition. For three tree transducer models, top-down tree transducers, extended top-down tree transducers, and extended multi bottom-up tree transducers, the relevant results are presented in an informal and illustrative manner. The aim is provide a synopsis that illustrates how theory (tree transducers) and practice (machine translation) interact on this particular example.


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