Publication at Faculty of Mathematics and Physics |
2009
Abstract
In this paper we deal with a new rule-based approach to the~Natural Language Generation problem. The presented system synthesizes Czech sentences from Czech tectogrammatical trees supplied by the Prague Dependency Treebank~2.0 (PDT~2.0).
Linguistically relevant phenomena including valency, diathesis, condensation, agreement, word order, punctuation and vocalization have been studied and implemented in Perl using software tools shipped with PDT~2.0. BLEU score metric is used for the evaluation of the generated sentences.