Presentation 1999/7/26
Layered Process for Translation Rules using State Transition in GA-ILMT
Hiroshi Echizenya, Kenji Araki, Yoshio Momouchi, Koji Tochinai,
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Abstract(in English) We previously proposed a method of Machine Translation Using Inductive Learning with Genetic Algorithms (GA-ILMT). In GA-ILMT, translation rules are automatically acquired from translation examples. However, how to use acquired translation rules is not enough. Therefore, we propose a method which the system based on GA-ILMT automatically systematizes the acquired translation rules. The translation rules in high level are translation rules which become core for translation process. For layered process in translation rules, we use state transition of generated process in correct translation result. Moreover, the system evaluates the translation rules using the state transition.
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Keyword(in English) machine translation / genetic algorithms / inductive learning / layer / state transition
Paper # TL99-9
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Conference Date 1999/7/26(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Layered Process for Translation Rules using State Transition in GA-ILMT
Sub Title (in English)
Keyword(1) machine translation
Keyword(2) genetic algorithms
Keyword(3) inductive learning
Keyword(4) layer
Keyword(5) state transition
1st Author's Name Hiroshi Echizenya
1st Author's Affiliation Dept. of Electronics and Information Engineering, Hokkai-Gakuen University()
2nd Author's Name Kenji Araki
2nd Author's Affiliation Division of Electronics and Information Engineering, Hokkaido University
3rd Author's Name Yoshio Momouchi
3rd Author's Affiliation Dept. of Electronics and Information Engineering, Hokkai-Gakuen University
4th Author's Name Koji Tochinai
4th Author's Affiliation Division of Electronics and Information Engineering, Hokkaido University
Date 1999/7/26
Paper # TL99-9
Volume (vol) vol.99
Number (no) 237
Page pp.pp.-
#Pages 8
Date of Issue