Discusses the nature of term groupings, phrases, and text windows in full-text documents and computes the statistical significance of windows. Topics include classifying documents within disciplines or on a theory versus practice spectrum; and grammatical characteristics for automatic classification of documents, for information retrieval, and for…

Describes an approximate document ranking process that uses a compact array of in-memory, low-precision approximations for document length. Combined with another rule for reducing the memory required by partial similarity accumulators, the approximation heuristic allows the ranking of large document collections using less than one byte of memory…