印地语
判决
自然语言处理
频率分布
计算机科学
人工智能
频率
作者归属
语言学
语音识别
数学
统计
哲学
作者
Hemlata Pande,H.S. Dhami
标识
DOI:10.1080/09296174.2015.1106269
摘要
The present paper examines the application of sentence length frequency profiling for the characterization of the writing styles of different authors in authorship attribution. The frequency distribution of the sentence lengths is first determined for various Hindi texts, and the parameters of the derived distributions associated with the selected statistical features calculated on the basis of frequency profile are then used for description of 77 texts written by four authors.
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