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Pronunciation Variants Prediction Method to Detect Mispronunciations by Korean Learners of English
Jeesoo Bang, Jonghoon Lee, Gary Geunbae Lee, Minhwa Chung
Article No.: 16
This article presents an approach to nonnative pronunciation variants modeling and prediction. The pronunciation variants prediction method was developed by generalized transformation-based error-driven learning (GTBL). The modified goodness of...
In statistical machine translation, the standard methods such as MERT tune a single weight with regard to a given development data. However, these methods suffer from two problems due to the diversity and uneven distribution of source sentences....
Efficient Personalized Probabilistic Retrieval of Chinese Calligraphic Manuscript Images in Mobile Cloud Environment
Yi Zhuang, Qing Li, Dickson K. W. Chiu, Zhiang Wu, Haiyang Hu
Article No.: 18
Ancient language manuscripts constitute a key part of the cultural heritage of mankind. As one of the most important languages, Chinese historical calligraphy work has contributed to not only the Chinese cultural heritage but also the world...