Machine Translation Based on NLG from XML-DB

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 XMLDB as a kind of interlingua approach instead of the conventional structure transfer approach.

• Type: Journal
• Year: 2002
• Where: COLING
• Authors: Yohei Seki, Kenichi Harada
• Keywords: COLING 2002, COLING 2008, Machine Translation, Monthly Economic Report, Three-stage Pipelined Architecture