Key points are not available for this paper at this time.
The problem of assigning a probability to each word of a language is considered. Two methods are discussed. One method assigns a probability to a word on the basis of particular measurable features of the language. The second method is applied to languages L(G) generated by a grammar G. A probability is associated with each production of G. These in turn define the word probabilities of each word in the language. The conditions for this assignment to be a probabilistic measure are derived.
Building similarity graph...
Analyzing shared references across papers
Loading...
Booth et al. (Tue,) studied this question.
www.synapsesocial.com/papers/6a07fa7f217278811afe110f — DOI: https://doi.org/10.1109/t-c.1973.223746
Taylor L. Booth
Richard A. Thompson
IEEE Transactions on Computers
Virginia Tech
University of Connecticut
Building similarity graph...
Analyzing shared references across papers
Loading...