LENA computerized automatic analysis of speech development from birth to three

Li Mei Chen, D. Kimbrough Oller, Chia Cheng Lee, Chin Ting Jimbo Liu

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

This study investigated the relationship between the linguistic input children receive and the number of children's vocalizations by using computerized LENA (Language Environment Analysis) system software which is able to collect and analyze the data automatically, instantly, and objectively. Data from three children (two boys and one girl) at ages of 10, 20, and 30 months were analyzed. The results indicated that: 1) child vocalizations (CV) and child-caregiver conversational turns (CT) increased with time while adult word counts (AWC) children overheard in the background decreased; 2) CT is highly correlated with CV. LENA automatic device can substantially shorten the time of data analysis in the study of child language, and provide preliminary results for further analysis.

原文English
主出版物標題Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018
編輯Chi-Chun Lee, Cheng-Zen Yang, Jen-Tzung Chien, Chen-Yu Chiang, Min-Yuh Day, Richard T.-H. Tsai, Hung-Yi Lee, Wen-Hsiang Lu, Shih-Hung Wu
發行者The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
頁面158-168
頁數11
ISBN(電子)9789869576918
出版狀態Published - 2018 10月 1
事件30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018 - Hsinchu, Taiwan
持續時間: 2018 10月 42018 10月 5

出版系列

名字Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018

Conference

Conference30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018
國家/地區Taiwan
城市Hsinchu
期間18-10-0418-10-05

All Science Journal Classification (ASJC) codes

  • 言語和聽力
  • 語言與語言學

指紋

深入研究「LENA computerized automatic analysis of speech development from birth to three」主題。共同形成了獨特的指紋。

引用此