Keyword Retrieval-Based Korean Text Command System Using Morphological Analyzer

형태소 분석기를 이용한 키워드 검색 기반 한국어 텍스트 명령 시스템

Park, Dae-Geun;Lee, Wan-Bok

  • Received : 2018.11.20
  • Accepted : 2019.02.20
  • Published : 2019.02.28


Based on deep learning technology, speech recognition method has began to be applied to commercial products, but it is still difficult to be used in the area of VR contents, since there is no easy and efficient way to process the recognized text after the speech recognition module. In this paper, we propose a Korean Language Command System, which can efficiently recognize and respond to Korean speech commands. The system consists of two components. One is a morphological analyzer to analyze sentence morphemes and the other is a retrieval based model which is usually used to develop a chatbot system. Experimental results shows that the proposed system requires only 16% commands to achieve the same level of performance when compared with the conventional string comparison method. Furthermore, when working with Google Cloud Speech module, it revealed 60.1% of success rate. Experimental results show that the proposed system is more efficient than the conventional string comparison method.


Morphological Analyzer;Retrieval Based Model;Korean;Speech Recognition;Command


Supported by : Kongju National University