J00-1004 input string with respect to a dependency transduction model . A method for automatically
W01-1404 grammars are equivalent to the dependency transduction model from ( Al - shawi et al.
J00-1004 of a derivation produced by a dependency transduction model is the sum of all the weights
J00-1004 method for automatically training a dependency transduction model from a set of input-output
J00-1004 To carry out translation with a dependency transduction model , we apply a dynamic programming
J00-1004 Introduction We will define a dependency transduction model in terms of a collection
J00-1004 source and target languages . The dependency transduction model produces synchronized dependency
W02-0705 translation . One is a statistical dependency transduction model using head transducers
D11-1118 fully - lexicalized statistical dependency transduction models have been trained from
J00-1004 constrain these . However , for a dependency transduction model to be a statistical model
W02-0705 hierarchical alignments used to build the dependency transduction model . In the experiments comparing
J00-1004 fully lexicalized statistical dependency transduction models from training examples
J00-1004 dependency trees derived by a dependency transduction model are ordered , i.e. , there
W02-0705 we estimate the parameters of a dependency transduction model from such alignments .
J00-1004 recognizer . Section 3 defines dependency transduction models and describes the search
J00-1004 Alignments As noted earlier , dependency transduction models are generative probabilistic
J00-1004 pair of local trees produced by a dependency transduction derivation is the result of a
J00-1004 method of training statistical dependency transduction models in experiments on English-to-Spanish
J00-1004 Figure 4 . Head transducers and dependency transduction models are thus related as fol
J00-1004 Transducers In this section we describe dependency transduction models , which can be used for
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