Finite-State Speech-To-Speech Translation

Finite-State Speech-To-Speech Translation (1997)

by Enrique Vidal

Citations:

50 - 12 self

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Datum	Value	Source
TITLE	Finite-State Speech-To-Speech Translation	user correction - Legacy Corrections
AUTHOR NAME	Enrique Vidal	SVM HeaderParse 0.1
AUTHOR AFFIL	Dpto. Sistemas Inform'aticos y Computaci'on	SVM HeaderParse 0.2
AUTHOR ADDR	Universidad Polit'ecnica de Valencia, 46020 Valencia, SPAIN	SVM HeaderParse 0.1
ABSTRACT	A fully integrated approach to Speech-Input Language Translation in limited-domain applications is presented. The mapping from the input to the output language is modeled in terms of a finite state translation model which is learned from examples of input-output sentences of the task considered. This model is tightly integrated with standard acoustic-phonetic models of the input language and the resulting global model directly supplies, through Viterbi search, an optimal output-language sentence for each input -language utterance. Several extensions to this framework, recently developed to cope with the increasing difficulty of translation tasks, are reviewed. Finally, results for a task in the framework of hotel front-desk communication, with a vocabulary of about 700 words, are reported.	user correction - Legacy Corrections
YEAR	1997	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	111--114	INFERENCE
VOLUME	1	INFERENCE
CITATIONS	21 found	ParsCit 1.0