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Extra info for A method for calling gains and losses in array CGH data (2005)(en)(14s)

Example text

With natural languages, a reasonable word partitioning would consist of standard text delimiters: space, comma, carriage return, etc. We could also use implicit delimiters, as in the example in the preceding section. Using word suffix trees, large texts can be manipulated with a greatly reduced space requirement, as well as increased processing speed [9]. The table above indicates that the number of words, m, in common novels, is much less than the length of the work in bytes, n. This difference is even greater when one considers the number of distinct words, m .

Thus, the word suffix tree, whose final size is bounded by O(m), has competitive space requirements compared to the linear-sized suffix array, unless the word lengths are very small. 2 Examples of Applications The word suffix tree is indeed a natural data structure, and it is surprising that efficient construction of word suffix trees has previously received very little attention. We now discuss several practical cases where word suffix trees would be desirable. With natural languages, a reasonable word partitioning would consist of standard text delimiters: space, comma, carriage return, etc.

If so, this is noted in the table entry. Furthermore, we check if the last symbol in the chunk is non-alphabetic, in which case we note that this symbol, together with the first symbol in the next chunk, may define a word boundary. The time to create and scan the table is at most proportional to the total number of bits it contains, which is 2b · b. 2 Scan the input and locate delimiters: We use p as a pointer into the input string, and scan the input for delimiters with the following procedure: 1 Set p ← 1.

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