Reusing MT components in natural language generation for dialogue systems

Abstract

This paper describes ongoing research on NLG for dialogue systems. Sentence planning is performed by selecting the appropriate template, while previously developed transfer and generation components of a transfer–based MT architecture perform the lexicalization and linguistic realization processes in the generation process. This approach allows for multilingual generation since there is a clear division between language dependent and language independent information