Abstract
A method of generating a Japanese sentence by inferring function words from content words using valency patterns is presented.A procedure for selecting an appropriate function word, on the assumption that correct content words have been selected for a given phrase lattice, is described. A method of inferring a correct verb when verbs are recognized less accurately than nouns by the speech recognition system is described. Sentences are produced from content words as inputs by using the valency patterns obtained from collected dialogue sentences in a restricted task domain. Using the semantic features of preceding nouns and valency patterns allow a fairly restricted number of candidate verbs to be inferred.This method eliminates possible errors at the interface between speech recognition and machine translation (component technologies of an Automatic Telephone Interpretation system) and selects the most appropriate candidate from a lattice of typical phrases output by the speech recognition system.
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