UCT CS Research Document Archive

Tense and Aspect in Runyankore using a Context-Free Grammar

Byamugisha, Joan, C. Maria Keet and Brian DeRenzi (2016) Tense and Aspect in Runyankore using a Context-Free Grammar. In Proceedings 9th International Natural Language Generation conference (INLG'16), pages 84-88, Edinburgh, Scotland.

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Abstract

The provision of personalized patient information has been encouraged as a means of complementing information provided during patient-doctor consultations, and linked to better health outcomes through patient compliance with prescribed treatments. The generation of such texts as a controlled fragment of Runyankore, a Bantu language indigenous to Uganda, requires the appropriate tense and aspect, as well as a method for verb conjugation.
We present how an analysis of corpora of explanations of prescribed medications was used to identify the simple present tense and progressive aspect as appropriate for our selected domain. A CFG is defined to conjugate and generate the correct form of the verb.

EPrint Type:Conference Paper
Keywords:natural language generation, CFG, health informatics
Subjects:I Computing Methodologies: I.2 ARTIFICIAL INTELLIGENCE
ID Code:1106
Deposited By:Keet, C. Maria
Deposited On:14 November 2016
Alternative Locations:http://aclweb.org/anthology/W16-6614, http://www.meteck.org/files/cfgINLG16.pdf