首页> 外国专利> - / METHOD AND SYSTEM FOR CLASSIFYING NATURAL LANGUAGE SENTENCE/PARAGRAPH READABILITY IN EDUCATIONAL ENVIRONMENT FOR HRI

- / METHOD AND SYSTEM FOR CLASSIFYING NATURAL LANGUAGE SENTENCE/PARAGRAPH READABILITY IN EDUCATIONAL ENVIRONMENT FOR HRI

机译:-/对HRI的教育环境中的自然语言句/段落可读性进行分类的方法和系统

摘要

The features of sentences / paragraphs are extracted through the tree pattern expression based matching technique and the natural language processing technique according to one embodiment, and the machine learning technique and the artificial neural network are applied based on the extracted sentence / A method and system for measuring / classifying the level and readability of a document. More particularly, the present invention relates to a sentence legibility classification service that utilizes sentence features, and in a sentence legibility classification service, after extracting features of a sentence defined on the basis of a sentence classification database and learning extracted features, In the paragraph readability classification service that classifies the level and readability of paragraphs and parses the paragraphs based on the paragraph classification database, the paragraphs are parsed in sentence units to extract the characteristics of the paragraphs by combining the features of the defined sentences, By learning the characteristics of a paragraph, it is possible to classify the level and readability of the entered paragraph when entering a new paragraph.
机译:根据一个实施例,通过基于树模式表达的匹配技术和自然语言处理技术来提取句子/段落的特征,并且基于所提取的句子,应用机器学习技术和人工神经网络/方法和系统。测量/分类文档的级别和可读性。更具体地,本发明涉及一种利用句子特征的句子易读性分类服务,并且在句子易读性分类服务中,在提取基于句子分类数据库定义的句子的特征并学习所提取的特征之后,在段落可读性中分类服务,对段落的级别和可读性进行分类,并根据段落分类数据库对段落进行解析,以句子为单位对段落进行解析,以结合定义的句子的特征来提取段落的特征,通过学习段落时,可以在输入新段落时对输入段落的级别和可读性进行分类。

著录项

  • 公开/公告号KR101882585B1

    专利类型

  • 公开/公告日2018-07-26

    原文格式PDF

  • 申请/专利权人 한양대학교 산학협력단;

    申请/专利号KR20160159834

  • 发明设计人 최용석;공성언;

    申请日2016-11-29

  • 分类号G09B7/02;G06F17/27;G06Q50/20;G09B7/04;

  • 国家 KR

  • 入库时间 2022-08-21 12:37:25

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