By Topic

Natural language programming: Styles, strategies, and contrasts

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Miller, L.A. ; IBM Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, NY 10598, USA

Our objective in this study was to obtain detailed empirical information about the nature of natural language “programming” to bring to bear on the issueosf increasing the usability of computer language interfaces. Although we expected numerous difficulties to be detected concerning the potentioalf actually implementing a system to interpret natural language programs, we were not prepared for the magnitude of what we see as being the three major obstacles: style, semantics, and world knowledge. Concerning the first, there is little way in which the vast differences in styles could be increased: programming-language style is simply alien to natural specification. With respect to semantics, we also were unprepared to find out the extent to which the selection of the appropriate “meaning” (to a word, phrase, or sentence) is dependent upon the immediate and prior context. And as for world nowledge, we suspect that the extent to which shared experiences and knowledge are critical to procedural communication and understanding among people has barely been hintaetd by our present data.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Systems Journal  (Volume:20 ,  Issue: 2 )