Formal Issues in Natural Language Generation

Kees van Deemter, Helmut Horacek, Ehud Reiter

Research output: Contribution to journalArticlepeer-review


Natural Language Generation (NLG) can be studied both empirically and formally. In recent timesempirical research has tended to dominate the NLG research community, especially with the emergence of corpus and statistical techniques. However, formal research, based on proofs, formal models, and formal
linguistics, can also contribute to the NLG research agenda. In this paper we discuss what types of formal research are relevant for NLG, and we introduce the four papers in the Special Issue on Formal Issues in Natural Language Generation of the journal Research on Language and Computation in the light of this
Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalResearch on Language and Computation
Issue number1
Publication statusPublished - Jun 2006


  • logical equivalence
  • meaning
  • NLG
  • proof


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