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자연발화에 나타난 ‘ㄴ+ㄹ’ 및 ‘ㄹ+ㄴ’ 연쇄의 발음 실현 양상
장혜진 ( Jang Hyejin ) 영주어문학회 2021 영주어문 Vol.48 No.-
The purpose of this study is to examine the pronunciation of ‘n+l’ and ‘l+n’ sequences through the analysis of spontaneous speech data. Unlike the description of the Korean Standard Pronunciation that ‘n’ is pronounced as [l] before or after ‘l’, the ‘n+l’ and ‘l+n’ sequences are different in several ways. The ‘n+l’ and ‘l+n’ sequences have different realization environments in spontaneous speech data. The ‘n+l’ sequence was mainly realized inside words, whereas the ‘l+n’ sequence was mainly realized at word boundaries. In the case of the ‘n+l’ sequence, liquidization pronunciation appeared at a high rate, and it was nasalized or pronounced as it is according to the morpheme or word boundary. However, the ‘l+n’ sequence did not have a high rate of liquidization compared to the ‘n+l’ sequence. Contrary to the previous studies that it is liquidized without exception, it was observed that the spelling pronunciation was observed even within the word with morpheme boundary, and in the case of word boundary, it was observed that it is difficult to say that liquidization is applied beyond phonological phrase boundary. In addition, there was a clear difference between the ages in the ‘l+n’ sequence compared to the ‘n+l’ sequence. It appeared as an extension of the spelling pronunciation without applying liquidization in the ‘l+n’ sequence.
임현열(Im, Hyeonyeol) 중앙어문학회 2020 語文論集 Vol.83 No.-
이 연구에서는 한국어 TTS 시스템의 외래어 발음 처리 현황을 점검하여, 그것의 문제점을 지적하고, 그에 대한 개선안을 국어학적 관점에서 모색하였다. 우선, 한국어 TTS 시스템의 발음 처리와 관련이 있는 선행 연구를 개관하고 특히 외래어 발음 처리에서 문제가 될 수 있는 항목을 추출하였다. 그 결과 어두경음화, /ㄴㄹ/ 연쇄의 유음화와 비음화, 모음의 발음 등이 문제 항목으로 선정되었다. 이에 이 연구에서는 각 항목에 관한 사례를 네이버와 구글의 TTS 시스템에 입력하여 발음 처리 현황을 살피고, 문제가 되는 항목에 대해 발음 처리 개선을 위한 방안을 제시하였다. 이러한 연구는 표준 발음이 정해져 있지 않은 외래어를 TTS 시스템이 처리할 때 참고할 수 있는 발음 처리 매뉴얼을 제공할 수 있다는 데 의미가 있다. 또한, 이런 논의는 현재까지 표준 발음의 외부 영역으로 놓여 있는 한국어 외래어의 표준 발음을 제정하는 데 참고가 될 것으로 기대한다. This study investigated whether the pronunciation of loanwords is well produced in the Korean TTS system, drew up its problems, and proposed ways to improve the problem from a Korean linguistics perspective. First, previous studies related to pronunciation processing of the Korean TTS system were reviewed, and items that could be problematic in the pronunciation processing of loanwords were extracted. As a result, word-initial tensification, lateralization and nasalization of /n-l(ㄴ-ㄹ)/ sequence, and vowel pronunciation were selected as problem items. Therefore, in this study, examples of each item were entered into the TTS system of Naver Papago and Google Translate to examine the pronunciation processing status, and a plan to improve pronunciation processing for the problematic item from the perspective of the Korean language was proposed. This study is meaningful in that it can provide a pronunciation processing manual that can be referred to when the TTS system processes loanwords for which the standard pronunciation is not determined. In addition, this discussion is expected to serve as a reference for establishing the standard pronunciation of Korean loanwords that have been placed as an external area of standard pronunciation until now.