A framework for MT and multilingual NLG systems based on uniform lexico-structural processing

Abstract

In this paper we describe an implemented framework for developing monolingual or multilingual natural language generation (NLG) applications and machine translation (MT) applications. The framework demonstrates a uniform approach to generation and transfer based on declarative lexico-structural transformations of dependency structures of syntactic or conceptual levels (uniform lexico-structural processing). We describe how this framework has been used in practical NLG and MT applications, and report the lessons learned.