Machine translation based on NLG from XML-DB

Authors:
Yohei Seki;Ken'ichi Harada
Affiliations:
The Graduate University for Advanced Studies (Sokendai);Keio University
Venue:
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 2
Year:
2002

Citing 3
Cited 0

Building natural language generation systems

Building natural language generation systems
Tuning Up Conceptual Graph Representation for Multilingual Natural Language Processing in Medicine (Research Note)

ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
A two-stage model for content determination

EWNLG '01 Proceedings of the 8th European workshop on Natural Language Generation - Volume 8

Quantified Score

Hi-index	0.00

Visualization

Abstract

The purpose of this study is to propose a new method for machine translation. We have proceeded through with two projects for report generation (Kittredge and Polguere, 2000): Weather Forecast and Monthly Economic Report to be produced in four languages: English, Japanese, French, and German. Their input data is stored in XML-DB. We applied a three-stage pipelined architecture (Reiter and Dale, 2000), and each stage was implemented as XML transformation processes. We regard XML stored data as language-neutral intermediate form and employ the so-called 'sublanguage approach' (Somers, 2000). The machine translation process is implemented via XML-DB as a kind of interlingua approach instead of the conventional structure transfer approach.