Example sentences of "the number of words [prep] the " in BNC.

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1 ( 2 ) Divide the number of words by the number of sentences to give an average measure of words per sentence .
2 You can also give the number of words in the phrase .
3 This would be a memory efficient structure ( one byte per letter , plus one byte for the null , for each word ) , however searching such a structure would be sequential , and therefore slow , of O(n) , where n is the number of words in the lexicon .
4 It can alternatively be stored in an array where the number of array elements is the number of words in the lexicon .
5 As most of the time taken is used up in searching through the various models the speed of the system will be a trade-off between the range of speakers it can understand and the number of words in the vocabulary .
6 There were 5,000 different states in his model , corresponding to the number of words in the lexicon .
7 In contrast , the number of words in the language is unbounded . )
8 Also the size of the model is independent of the number of words in the dictionary .
9 The taller , paler columns show , for each test set , the number of words in the utterance given these two definitions of ‘ correct lattice ’ .
10 As no grammar is used above — any word can be followed by any other word — the number of word choices in the system is potentially equal to the number of words in the lexicon .
11 The number of paths according to our path counting algorithm would be bn where n is the number of words in the utterance :
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