What is it about?
LENA demonstrated good sensitivity identifying adult and child in China, comparable to that of American English validation samples. Precision was strong for adult but less so for child. LENA Adult Word Count (AWC) correlated strongly with both Chinese characters and SDM word counts. LENA Conversational Turn (CT) counts correlated similarly with rater-based counts after the exclusion of three unusual samples.
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Why is it important?
Our findings show that performance of the LENA automated language analysis system for the Chinese SDM (Shanghai Dialect and Mandarin) language is acceptable.
Perspectives
LENA is a good tool to assess language interaction for children and their parents in China.
Professor Yiwen Zhang
Shanghai Children's Medical Center
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This page is a summary of: Evaluating Language Environment Analysis System Performance for Chinese: A Pilot Study in Shanghai, Journal of Speech Language and Hearing Research, April 2015, American Speech-Language-Hearing Association (ASHA),
DOI: 10.1044/2015_jslhr-l-14-0014.
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