Presentation 2001/3/16
Rule Acquisition for a New Speech Translation Method with Waveforms Using Inductive Learning
Koji MURAKAMI, Kenji ARAKI, Makoto HIROSHIGE, Koji TOCHINAI,
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Abstract(in English) Conventional speech translation is a integration of the three processing techniques that contain several complicated parts. Generally, realizing the speech translation had a condition that speech had been transformed to the characteristics. However, achieving high translation performance is like combination among all processings. It is very difficult because each processing is so complicated and has many problems. Then, we propose a new speech translation method that independent on any characteristics of all languages. Our approach has some advantages that we use time-varying characteristics of speech without transform to characteristics and we would prevent declining the precision of translation by omitting some processings that were indispensable for traditional methods: morphological analysis, syntactic analysis and others.
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Keyword(in English) Speech translation / Inductive learning / Time-varying characteristics of speech
Paper # TL2000-47,NLC2000-82
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Committee NLC
Conference Date 2001/3/16(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Rule Acquisition for a New Speech Translation Method with Waveforms Using Inductive Learning
Sub Title (in English)
Keyword(1) Speech translation
Keyword(2) Inductive learning
Keyword(3) Time-varying characteristics of speech
1st Author's Name Koji MURAKAMI
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Kenji ARAKI
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Makoto HIROSHIGE
3rd Author's Affiliation Graduate School of Engineering, Hokkaido University
4th Author's Name Koji TOCHINAI
4th Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 2001/3/16
Paper # TL2000-47,NLC2000-82
Volume (vol) vol.100
Number (no) 700
Page pp.pp.-
#Pages 8
Date of Issue