Perera, RNand, P2017-07-262017-07-2620172017Computing and Informatics, 36(1), 1-32.1335-9150https://hdl.handle.net/10292/10691Natural Language Generation (NLG) is defined as the systematic approach for producing human understandable natural language text based on non-textual data or from meaning representations. This is a significant area which empowers human-computer interaction. It has also given rise to a variety of theoretical as well as empirical approaches. This paper intends to provide a detailed overview and a classification of the state-of-the-art approaches in Natural Language Generation. The paper explores NLG architectures and tasks classed under document planning, micro-planning and surface realization modules. Additionally, this paper also identifies the gaps existing in the NLG research which require further work in order to make NLG a widely usable technology.The contents of this journal will be available in an open access format 12 month(s) after an issue is published.Natural Language GenerationNatural Language ProcessingLexicalizationJournal ArticleOpenAccess