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Validation of the Language ENvironment Analysis (LENA) Automated Speech Processing Algorithm Labels for Adult and Child Segments in a Sample of Families from India
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Shoba S. Meera; Divya Swaminathan; Sri Ranjani Venkata Murali; Reny Raju; Malavi Srikar; Sahana Shyam Sundar; Senthil Amudhan; Alejandrina Cristia; Rahul Pawar; Achuth Rao; Prathyusha P. Vasuki; Shree Volme; Ashok Mysore – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The Language ENvironment Analysis (LENA) technology uses automated speech processing (ASP) algorithms to estimate counts such as total adult words and child vocalizations, which helps understand children's early language environment. This ASP has been validated in North American English and other languages in predominantly monolingual…
Descriptors: Foreign Countries, Multilingualism, Adults, Speech Communication
Fleeing TikTok to Rednote: Leveraging Generative Technologies to Support Cross-Language Communication for TikTok Refugees on Chinese Social Networking Platforms
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Yanchao Yang; Zehang Tan; Xinxin Yang – Turkish Online Journal of Educational Technology - TOJET, 2025
As the U.S. government enforces a ban on TikTok, many users are seeking alternative platforms, creating unprecedented opportunities for Chinese social media applications, particularly platforms like Xiaohongshu (RedNote). These platforms have seen a significant increase in downloads in the U.S. market, showcasing the global potential of Chinese…
Descriptors: Refugees, Social Media, Computer Mediated Communication, Accuracy