Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Chong-Min Lee"'
Autor:
Yefeng Yuan, Chong Min Lee
Publikováno v:
kookmin Social Science Review. 34:191-230
Publikováno v:
ICMI
We propose a novel and practical approach to model non-cognitive, behavioral performance tasks, by using natural language processing (NLP) to guide the selection of “thin-slices” that are representative of holistic video performances and demonstr
Autor:
Matthew Mulholland, Daniel Blanchard, Aoife Cahill, Chee Wee Leong, Brian Riordan, Chong Min Lee, Nitin Madnani, Michael Heilman, Slava Andreyev, Binod Gyawali, Diane Napolitano
Publikováno v:
ETS Research Report Series. 2018:1-8
Autor:
Min Ma, Lawrence Davis, Robert Mundkowsky, Su-Youn Yoon, Chee Wee Leong, Xinhao Wang, Klaus Zechner, Jidong Tao, Chong Min Lee, Chi Lu, Keelan Evanini, Binod Gyawali, Anastassia Loukina, Lei Chen
Publikováno v:
ETS Research Report Series. 2018:1-31
Autor:
Chong Min Lee, Kwangwan Ko
Publikováno v:
Advertising Research. 116:5-37
Autor:
M. Diane Clark, Chong Min Lee
Publikováno v:
Creative Education. :1897-1909
There are diverse reasons for learning a sign language, including taking courses for personal use versus taking courses for formal academic credit. Those learning a sign language for personal reasons include people who interact with deaf people; they
Autor:
Bob Krovetz, Melissa Lopez, Jennifer Sakano, Anastassia Loukina, Su-Youn Yoon, Patrick Houghton, Nitin Madnani, Chong Min Lee, Chi Lu
Publikováno v:
ETS Research Report Series. 2017:1-9
Autor:
Jidong Tao, Anastassia Loukina, Mo Zhang, Matthew Mulholland, Su-Youn Yoon, Chong Min Lee, Xinhao Wang, Klaus Zechner
Publikováno v:
ETS Research Report Series. 2017:1-17
This report presents an overview of the SpeechRaterSM automated scoring engine model building and evaluation process for several item types with a focus on a low-English-proficiency test-taker population. We discuss each stage of speech scoring, incl
Publikováno v:
ASRU
Automatic detection of an individual's native language (L1) based on speech data from their second language (L2) can be useful for informing a variety of speech applications such as automatic speech recognition (ASR), speaker recognition, voice biome
Publikováno v:
INTERSPEECH