PILLS: multilingual generation of medical information documents with overlapping content

Nadjet Bouayad-Agha, Richard Power, Donia Scott, Anja Belz

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

In the pharmaceutical industry, products have to be described by a range of document types with overlapping content. Moreover, much of this documentation has to be produced in many languages. This situation is commonplace in many commercial domains, and leads to well-known problems in maintaining a set of related documents and their translations. We describe a potential solution explored in the PILLS project. All relevant knowledge about a product is entered only once, through a natural-language interface to a knowledge base. From this ‘master model’, specialised models for a range of document types are derived automatically; from each specialised model, documents are generated automatically in all supported languages. As an illustration of this approach, the PILLS demonstrator generates three medical document types in English, German and French.
Original languageEnglish
Title of host publicationProceedings of the 3rd international conference on language resources and evaluation
Place of PublicationLas Calmas, Canary Islands
Pages0-0
Number of pages1
Publication statusPublished - 1 Jan 2002
EventProceedings of the 3rd international conference on language resources and evaluation - Las Calmas, Canary Islands
Duration: 1 Jan 2002 → …

Conference

ConferenceProceedings of the 3rd international conference on language resources and evaluation
Period1/01/02 → …

Keywords

  • Natural language generation
  • Translation
  • Natural language interfaces

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