Jian-Cheng Wu is an assistant research fellow at the Research Center for Translation, Compilation and Language Education of the National Academy for Educational Research. His fields of expertise are computer linguistics, natural language processing, and computer-assisted language learning.
After graduating from the Department of Information Engineering of National Chiao Tung University, Wu enrolled in the master’s and PhD programs in electrical engineering and computer science at National Tsing Hua University. During his study, Wu focused on computer linguistics and its application in fields such as natural language processing and computer-assisted language learning. After he graduated in 2010, Wu was first employed as a postdoctoral research fellow at National Tsing Hua University, and later at the Development Center for Compilation and Translation (now the Research Center for Translation, Compilation, and Language Education) at the National Academy for Educational Research, where he has worked since 2014. Wu’s primary work involves various research projects on the application of text corpora in learning, including the corpus-based classification standards for Chinese characters, vocabularies, and syntax, in addition to corpus-assisted dictionary compilation and an analysis on vocabulary of the natural sciences. The aim of this research is to reflect actual language usage through corpora and utilize the rich content of big data to provide objective research outcomes.