During the period, corpus analysis centered on probabilistic modeling to understand word usage and term discovery across large text collections. Researchers advanced automatic keyword indexing by employing word-distribution and Poisson-based models to separate specialty terms from general vocabulary, shaping core applications in corpus-based information retrieval. A parallel thread examined discourse variation and distributional properties of form frequencies, employing probabilistic indices and sampling-aware methods to assess reliability across corpora.