Artificial Intelligence (AI) is an emerging technology with cross-disciplinary applications in Natural Language Processing (NLP), e.g., speech recognition, grammar tagging, automatic abstracting and text mining (Chou & Tseng, 2005; Shao & Tseng, 2018). However, there is a lack of discussion in regards to the practical effectiveness of the application of AI in real teaching environments. This study adopts the perspectives of current TCSL teachers and utilizes a piece of criminal law text automatically tagged in Ponddy Reader (PR) in order to make preliminary observations regarding issues of word segmentation and grammar pattern detection. Based on the text converted by PR, we draw implications regarding whether the platform meets the expectations of TCSL and principles of CSL material compilation. This study aims at addressing these issues by proposing several solutions for optimization. Analyzing the criminal law text automatically converted by the ＂AI-Powered Chinese Learning Platform＂, we detected major problems as below: segmentation errors, gaps in grammar pattern identification, and violation of the scientific, practicability and targetability principles of CSL materials compilation. Concerning the main problems of automated abstracting existing nowadays, the recommendations of this study include: (1) collocating words should be considered when dealing with unknown words and word tagging to avoid over-tagging, aside from the combination of character-based and word-based approaches; (2) another way to improve the accuracy of grammar pattern detection is to strengthen the training in high collocational patterns and formulaic speech. (3) for enhancing the accuracy of near-synonym distinction, one plausible method is to incorporate semantic frames and collocational analysis to extract strongly collocated keywords (Gries & Stefanowitsch, 2004a). (4) developing a multi-dimensional database of Chinese for specific purposes vocabulary collected from different disciplines and themes with varying levels of difficulty.

人工智慧應用、構式搭配分析、法律華語、詞彙標記、語法標記

Artificial Intelligence Application, Collostructional Analysis, Chinese for Specific Purposes, Vocabulary Tagging, Grammar Tagging