谱号
话语
风格(视觉艺术)
集合(抽象数据类型)
词(群论)
自然语言处理
计算机科学
语言学
人工智能
语音识别
心理学
文学类
艺术
哲学
工程类
系统工程
程序设计语言
任务(项目管理)
摘要
Abstract Playwrights and screenwriters compose dialogues with characters from both genders. Assuming that men and women speak or write differently, can a great author take account of this difference? Previous studies have ascertained some stylistic markers that can discriminate between men and women either in writing or oral productions. The main aim of this study is to verify whether in Shakespeare’s plays female figures are talking in a distinct way compared with male ones. First, this study confirms the effectiveness of a set of predefined stylistic features using a tweet dataset extracted from CLEF-PAN corpora. Second, we demonstrate that the two genders present distinct styles when analyzing twenty-nine of Shakespeare’s plays, demonstrating that the author adopts a distinct style for each gender. Our experiments are grounded on two efficient classifiers (logistic regression and random forest) able to automatically identify short passages (500 or 1,000 word-tokens) corresponding to either a male or a female utterance with an accuracy of around 80%.
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