Description

This generator relies on real life language data obtained from an English language corpus of directors' reports containing over 200,000 words. The texts have been tagged at the rhetorical level, which has helped identify the parts and sections a directors' report must contain. The associated prototypical uses of language have also been isolated. The generator offers the user the acceptable structure for a directors' report, together with linguistic choices that ensure that resulting report is correct. These choices are made available as strings with gaps to be filled in. In order to facilitate the process, the generator offers an integrated bilingual glossary with technical terms typical of this genre.