Poetry stylistic analysis technique based on term connections
Liangyan Li, Zhongshi He, Yong Yi · 2005
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 the support of NLP technique as the background. Furthermore, 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, therefore poetry stylistic analysis technique based on term connection is valid in evaluating poetry stylistics.