H. E. Williams, J. Zobel, and S. Heinz. Self-adjusting trees in practice for large text collections. SoftwarePractice and Experience, 31(10):925--939, 2001. Home/Search Document Details and Download
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.... or hyphen characters within a word (thus including don t and right handed but not students ) but to exclude strings with more than two digits, it covers almost every string that in English might reasonably be regarded as a word and can be used in practice for vocabulary accumulation tasks [4, 10, 16]. We refer to this as the alnum class. However, the alnum class clearly includes many strings that would not be generally regarded as words; the goal of an ideal but implausible parser would be to eliminate all such non words from alnum. We have explored several di#erent more restrictive ....
H.E. Williams, J. Zobel, and S. Heinz. Self-adjusting trees in practice for large text collections. Software Practice and Experience, 31(10):925--939, 2001.
Self-Adjusting Distributed Trees - Michael Reiter Asad (2005) (Correct)
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H. E. Williams, J. Zobel, and S. Heinz. Self-adjusting trees in practice for large text collections. SoftwarePractice and Experience, 31(10):925--939, 2001.
Efficient Adaptive Data Compression Using Fano Binary Search.. - Rueda, Oommen (Correct)
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H. Williams, J. Zobel, and S. Heinz. Self-adjusting trees in practice for large text collections. Software - Practice and Experience, 31(10):925--939, 2001.
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