In this course, students will understand characteristics of language through big data. Students will learn how to collect and analyze big data, and find linguistic features from the data. A number of approaches to the linguistic analysis of written and spoken texts will be discussed.
Analysis Tools I – BNC
Analysis Tools II – COCA, ANTCONC & TagAnt
Considerations of Big Data and Language
In the final projects, students are required to conduct their research on linguistics. The research topic can be chosen by students and the linguistic data should be collected according to. The material for this course can be helpful. Through the project, students can learn how to collect data, process data and analyze data for their purposes.
Learning Big Data and Language from Korea Advanced Institute of Science and Technology offered through Coursera exposed me to the possibilities of Natural Language Processing in Linguistics, which is an ever growing field in the space of artificial intelligence and speech recognition. Putting these skills learned through the course in use, I've been able to undertake a very big project successfully.
Judith S. Cagaanan
I hope to get more challenging and need-of-the hour research lectures in the use of big data and language.