Back to Search
Start Over
Towards an adaptive natural language interface to command languages
- Source :
- Natural Language Engineering. 2:191-209
- Publication Year :
- 1996
- Publisher :
- Cambridge University Press (CUP), 1996.
-
Abstract
- Operating system command languages assist the user in executing commands for a significant number of common everyday tasks. On the other hand, the introduction of textual command languages for robots has provided the opportunity to perform some important functions that leadthrough programming cannot readily accomplish. However, such command languages assume the user to be expert enough to carry out a specific task in these application domains. On the contrary, a natural language interface to such command languages, apart from being able to be integrated into a future speech interface, can facilitate and broaden the use of these command languages to a larger audience. In this paper, advanced techniques are presented for an adaptive natural language interface that can (a) be portable to a large range of command languages, (b) handle even complex commands thanks to an embedded linguistic parser, and (c) be expandable and customizable by providing the casual user with the opportunity to specify some types of new words as well as the system developer with the ability to introduce new tasks in these application domains. Finally, to demonstrate the above techniques in practice, an example of their application to a Greek natural language interface to the MS-DOS operating system is given.
- Subjects :
- Linguistics and Language
Parsing
Natural language user interface
Computer science
Programming language
Second-generation programming language
computer.software_genre
Language and Linguistics
Task (computing)
Third-generation programming language
Artificial Intelligence
Console application
Robot
Fifth-generation programming language
computer
Software
Subjects
Details
- ISSN :
- 13513249
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Natural Language Engineering
- Accession number :
- edsair.doi...........b29ab4a2df83129ee9ee08e472fce045
- Full Text :
- https://doi.org/10.1017/s1351324997001344