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Abstract

This paper conducted on identifying topical coherency between paragraphs of an
expository text. Expository text is a kind of texts which is intended for publicity such as
journal, news etc. Many expository texts consist of long sequences of paragraphs with very
little structural demarcation, while others consist of sequences of paragraph which still
discuss the same topic. This paper uses Similarity Coefficient to identify topical coherency
between paragraphs. Similarity coefficient measures lexical similarity between adjacent
paragraphs, with assumption that the more similar two adjacent paragraphs are, the more
likely it is that the current topic continues. Pengidentifikasi Keterkaitan Topik Antar Paragraf
(PKTAP) is a software for identifying topical coherency between paragraphs of an expository
text, which is developed based on this method. Topical coherency identification made by
PKTAP is compared against judgments made by human readers. The result shows that the
readers have a high tendency to agree with PKTAP.
Keywords: expository text, topical coherency, similarity coefficient

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