基于词联接的诗词风格评价技术

在当前自然语言处理的研究状况下,文学语言处理应当受到足够的重视。诗词艺术集中体现了文学语言的形象性、情感性、个性等特征,是文学语言处理研究很好的切入点。风格评价是文学语言处理的重要课题,极具挑战性。本文以诗词语言为具体研究对象,以基于词联接的自然语言处理技术为技术背景,着重介绍并验证基于词联接的诗词风格评价技术。提出了计算方法,设计了诗词风格评价问卷调查实验。结果表明,人的诗词风格评价共性大于个性,基于词联接的诗词风格评价技术能够有效地评价诗词风格。

Poetry Stylistic Analysis Technique Based on Term Connections

Literary language processing deserves its due attention in the current research atmosphere of Natural Language Processing(NLP).Since poetry fully reveals literary language features such as vividness,sensibility and individuality,it is the appropriate start-point in NLP.Stylistic analysis thus contributes as an important task in literary language processing with lots of challenges.This paper looks into the research object,poetic language,strongly recommends and carefully proves poetry stylistic analysis technique based on term connection with supports of NLP technique as the background.Further more,the corresponding algorithm is proposed and questionnaires are applied to evaluate poetry stylistics in surveys.Both theories and experiments confirm us that commonness exceeds individuality concerning poetry stylistic analysis,and therefore poetry stylistic analysis technique based on term connection is valid in evaluating poetry stylistics.