Automatic Extraction of Super-Function From Bilingual Corpus

Authors:
Manabu Sasayama;Fuji Ren;Shingo Kuroiwa
Affiliations:
Department of Information Science & Intelligent Systems Faculty of Engineering, Tokushima University, Tokushima, Japan;Department of Information Science & Intelligent Systems Faculty of Engineering, Tokushima University, Tokushima, Japan and School of Information Engineering, Beijing University of Posts and Teleco ...;Department of Information Science & Intelligent Systems Faculty of Engineering, Tokushima University, Tokushima, Japan
Venue:
Electronic Notes in Theoretical Computer Science (ENTCS)
Year:
2009

Citing 4
Cited 0

A statistical approach to machine translation

Computational Linguistics
Learning translation templates from bilingual text

COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Finding structural correspondences from bilingual parsed corpus for corpus-based translation

COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
English-Japanese example-based machine translation using abstract linguistic representations

COLING-MTIA '02 Proceedings of the 2002 COLING workshop on Machine translation in Asia - Volume 16

Quantified Score

Hi-index	0.00

Visualization

Abstract

Extraction of a large Super-Function (SF) is one of the most important factor in realizing SF based machine translation. This paper presents a method to automatically extract SF from a Japanese-English bilingual corpus. The extraction process matches Japanese noun and English noun in each bilingual sentence in a bilingual corpus using a bilingual dictionary. The experimental results show that this method performs very well in automatically extracting SF for machine translation. Then, we discuss a problem of SF based machine translation from the result of the evaluation experiment using extracted SF.