TY - GEN
T1 - LENA computerized automatic analysis of speech development from birth to three
AU - Chen, Li Mei
AU - Oller, D. Kimbrough
AU - Lee, Chia Cheng
AU - Jimbo Liu, Chin Ting
N1 - Funding Information:
This research was supported by Chiang Ching-Kuo Foundation for International Scholarly Exchange in Taiwan to Li-Mei Chen. A special thank you is extended to the families of the children in this longitudinal study for their support of this project.
Publisher Copyright:
© 2018 The Association for Computational Linguistics and Chinese Language Processing.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:85085663018
T3 - Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018
SP - 158
EP - 168
BT - Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018
A2 - Lee, Chi-Chun
A2 - Yang, Cheng-Zen
A2 - Chien, Jen-Tzung
A2 - Chiang, Chen-Yu
A2 - Day, Min-Yuh
A2 - Tsai, Richard T.-H.
A2 - Lee, Hung-Yi
A2 - Lu, Wen-Hsiang
A2 - Wu, Shih-Hung
PB - The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
T2 - 30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018
Y2 - 4 October 2018 through 5 October 2018
ER -