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The paper presents a new approach to text segmentation - which concerns dividing a text into coherent discourse units. The approach builds on the theory of discourse segment (Nomoto and Nitta, 1993), incorporating ideas from the research on information retrieval (Salton, 1988). A discourse segment has to do with a structure of Japanese discourse; it could be thought of as a linguistic unit demarcated by wa, a Japanese topic particle, which may extend over several sentences. The segmentation works with discourse segments and makes use of coherence measure based on tf-idf, a standard information retrieval measurement (Salton, 1988; Hearst, 1993). Experiments have been done with a Japanese newspaper corpus. It has been found that the present approach is quite successful in recovering articles from the unstructured corpus.

A grammatico-statistical approach to discourse partitioning