Artificial intelligence

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ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Параметризация типов предложений предметной области для системы устного фразаря-переводчика

Yatsenko V.1
1 Speech Science and Technology Department, International Research and Training Center of Information Technologies and Systems

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UDC: 004.934
Publication Language: Ukrainian
Stuc. intelekt. 2011; 16(4):134-142

Abstract: In this paper we describe the approaches for building of the spoken translation system within subject areas. The decoded sequence of words enters to the interpretation subsystem, which finally makes decision concerning to the sentence type and the respective meaning type for the pronounced utterance. Possible variations of date, time, place etc. that may occur in sentences are parameterized and integrated to the language model. Strict, free and phonetic words based on word grammars for speech decoder are analyzed.

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References:

  1. Vintsiuk T.K. Analysis, Recognition and Understanding of Speech Signals. Kyiv: Naukova Dumka. 1987. 264 p.
  2. Sazhok M. All-Ukrainian Int. Conference on Signal/Image Processing and Pattern Recognition Ukr Obraz’2010.Кyiv. 2010. P. 103-106
  3. Lee T. Proc. European Conference on Speech Communication and Technology (EUROSPEECH). 2001. P 1691-1694
  4. Young S.J. HTK Book, version 3.1. Cambridge University. 2002.

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