Titlebook: String Processing and Information Retrieval; 15th International S Amihood Amir,Andrew Turpin,Alistair Moffat Conference proceedings 2009 Sp

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Indexed Hierarchical Approximate String Matching,ompare our algorithm with related approaches, showing that our method offers an interesting space/time tradeoff, and in particular does not need of any parameterization, which is necessary in the most successful competing approaches.

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Comparison of ,-gram Proximity Measures in Out-of-Vocabulary Word Translation,ated using eleven language pairs. The binary proximity measures performed generally better than their non-binary counterparts, but the difference depended mainly on the padding used with .-grams. When no padding was used, the binary and non-binary proximity measures were nearly equal, though the performance at large deteriorated.

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Run-Length Compressed Indexes Are Superior for Highly Repetitive Sequence Collections,he-art entropy-bound full-text . do not yet provide satisfactory space bounds for this specific task. We engineer some new structures that use run-length encoding and give empirical evidence that these structures are superior to the current structures.

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Approximate Runs - Revisited,etween all periods, or between each period and a consensus string. Another possible measure is the number of positions in the periods that may differ..In this talk I will survey a range of our results in this area. Various parts of this work are joint work with Maxime Crochemore, Gene Myers, Jeanette Schmidt and Dina Sokol.

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,“Search Is a Solved Problem” and Other Annoying Fallacies,here is no more research to be done on the problem of information retrieval. In reality, there are so many variants of “the search problem” that not all have been catalogued, and few have been solved to the point where we can rely absolutely on the quality of results. Apparently no-one told the Web