Presentation	1997/7/24 Super-Function Based Machine Translation Fuji Ren,
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Abstract(in English)	In this paper, we present a new method called Super-Function Based MT(SFBMT) to improve the GBMT. We use a Super-Function(SF) in the translation engine to enhance the translation quality and to reduce the glossary quantity. The Super-Function is a function that shows the correspondence between original language sentence patterns and target language sentence patterns. We used TTB to store SF and to match SF with the input sentence. An experiment on the Japanese-English-Chinese textbook has been simulated. The 61 SFs are acquired and the result shows that this method is efficient.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Super-Function / Machine Translation / Translation Engine / Japanese-Chinese-English
Paper #	NLC97-11
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Conference Information
Committee	NLC
Conference Date	1997/7/24(1days)
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Paper Information
Registration To	Natural Language Understanding and Models of Communication (NLC)
Language	ENG
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Super-Function Based Machine Translation
Sub Title (in English)
Keyword(1)	Super-Function
Keyword(2)	Machine Translation
Keyword(3)	Translation Engine
Keyword(4)	Japanese-Chinese-English
1st Author's Name	Fuji Ren
1st Author's Affiliation	Faculty of Information Sciences Hiroshima City University()
Date	1997/7/24
Paper #	NLC97-11
Volume (vol)	vol.97
Number (no)	199
Page	pp.pp.-
#Pages	8
Date of Issue