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Sentence pattern classification method based on multi combination keyword of syllables

机译:基于音节多组合关键字的句型分类方法

摘要

The present invention relates to an automatic interpretation process for communicating with people using different languages, in which speech recognition and automatic translation texts are analyzed to generate a long sentence having a short sentence or a multiple meaning based on multiple combinations of all syllables constituting the text The present invention relates to a syllable multiple combination keyword-based automatic classification method for automatically classifying syllables and adding a sentence pattern to a sentence classification keyword based on a syllable multiple combination keyword. The method includes extracting keywords candidates for each sentence type based on a plurality of learning corpuses; Calculating a relative frequency rate of each extracted keyword candidate; Comparing the calculated relative frequency rate with a predetermined threshold value, and selecting the keywords according to the resu Multiplexing each syllable with respect to a sentence input according to a predetermined number of reference syllables; And comparing the combined syllable with the selected keyword for each sentence type to classify the sentence sentence pattern and adding a sentence pattern according to the classified sentence pattern.
机译:本发明涉及一种用于使用不同语言与人交流的自动解释过程,其中,基于构成文本的所有音节的多个组合,分析语音识别和自动翻译文本以产生具有短句子或多重含义的长句子。基于音节多重组合关键词的自动分类方法技术领域本发明涉及一种基于音节多重组合关键词的自动分类方法,用于基于音节多重组合关键词对音节进行自动分类并为句子分类关键词添加句子模式。该方法包括基于多个学习语料库为每种句子类型提取候选关键词;以及计算每个提取的候选关键词的相对频率率;将计算出的相对频率率与预定阈值进行比较,并根据结果选择关键词;根据预定数量的参考音节将每个音节相对于输入的句子多路复用;然后将组合的音节与针对每种句子类型的所选关键词进行比较,以对句子句子模式进行分类,并根据分类后的句子模式添加句子模式。

著录项

  • 公开/公告号KR101763329B1

    专利类型

  • 公开/公告日2017-08-14

    原文格式PDF

  • 申请/专利权人 한국전자통신연구원;

    申请/专利号KR20150027285

  • 发明设计人 이수종;김상훈;김정세;윤승;

    申请日2015-02-26

  • 分类号G06F17/27;G06F17/28;G06F17/30;

  • 国家 KR

  • 入库时间 2022-08-21 13:25:04

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