Since the 1990s, humanities scholars have adopted natural language processing (NLP) techniques such as name-entity recognition, text classification, and keyphrase extraction to improve work efficiency and invent new research tools and methods. N-gram has been one of the commonly used models among humanities scholars. This presentation will focus on N-gram's significances in the East Asian digital humanities and show its use cases in authorship attribution, stylometry, and classification.