NDLI: Using random graphs in learning past tenses

Content Provider	IEEE Xplore Digital Library
Author	Fayek, R.E. Wong, A.K.C.
Copyright Year	1994
Description	Author affiliation: Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada (Fayek, R.E.)
Abstract	This paper presents an automatic learning technique. Its strength is demonstrated by a bench mark problem for evaluating learning systems-learning the past-tenses of English verbs. To deal with training patterns of variable length and to exploit probabilistic properties inherent in the English language, our method uses random graphs. Due to the large amount of redundancy between the base form and the past tense form of most verbs, only the endings of these forms are of interest in the classification process. These are extracted automatically. Taking advantage of the sequential nature of words, the complete graphs can be relaxed to sequences with great reduction in the computational requirements. A significant merit of this method over the connectionist models is that the knowledge acquired is expressed automatically in a rule-based form which simplifies the classification process of unknown verbs.<>
Starting Page	627
Ending Page	631
File Size	422635
Page Count	5
File Format	PDF
ISBN	0780324161
DOI	10.1109/CCECE.1993.332374
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-09-14
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Design engineering Systems engineering and theory Neural networks Learning systems Natural languages Educational institutions Cognition Data engineering Machine learning Pipelines
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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