36. A probability table for use in apparatus for determining whether a sense for a word is lexically appropriate to a given position in a text, the probability table being made by a method comprising the steps of: making a conditional sample of the text corpus which includes contexts which are semantically related to a sense specified in a given word/sense pair; employing a Bayesian technique to determine for each word which occurs in the conditional sample a weight of that word in the conditional sample with regard to the probability that the word of the given word/sense pair has the sense specified in the given word/sense pair; and making a table entry including the weight of the word for each of the occurring words which has more than a given weight.
36. A probability table for use in apparatus for determining whether a sense for a word is lexically appropriate to a given position in a text, the probability table being made by a method comprising the steps of: making a conditional sample of the text corpus which includes contexts which are semantically related to a sense specified in a given word/sense pair; employing a Bayesian technique to determine for each word which occurs in the conditional sample a weight of that word in the conditional sample with regard to the probability that the word of the given word/sense pair has the sense specified in the given word/sense pair; and making a table entry including the weight of the word for each of the occurring words which has more than a given weight. 37. The probability table set forth in claim 36, wherein: in the step of employing the Bayesian technique, the weight, wt for each word which occurs in the condition sample is determined by the equation ##EQU13## where .pi. is the conditional probability of the word, a is the frequency of the word in the conditional sample, and E is the expectation of .pi. given a.