Speaking is a way for humans to communicate with others using language. The ability to\nspeak according to the speaker is very diverse. In general, language skills improve as intelligence\nimproves. Therefore, it is known that the analysis of a speakerâ??s utterances is a good tool to evaluate\nthe intellectual maturity of the speaker. Until recently, these evaluations have been done manually\nbased on the experience of a handful of experts, but this approach is not only time consuming and\ncostly, but also highly subjective. In this paper, we propose a Korean automatic speech analysis\nsystem based on Natural Language Processing (NLP) and web service to solve this problem. For this\nstudy, we constructed a web service based on Django to respond to the requests of various users.\nWhen a user delivered a transcription file of utterances to the server via the web, the server analyzed\nthe speech ability of the speaker based on various indicators. The server compared the transcription\nfile with the language ability indicators of persons of the same age as the speaker and displayed the\nresult immediately to the user. In this study, we used KoNLPy, a Korean language-processing tool.\nThe automatic speech analysis service analyzed not only the overall language ability of the speaker\nbut also individual domains such as sentence completion ability and vocabulary ability. In addition,\na faster and immediate service was made possible without sacrificing accuracy as compared to\nhuman analysis.
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