Use of Systemic-Functional Linguistics in Automated Text Mining

摘要

Systemic-functional linguistics is a linguistic framework for the analysis of grammatical and semantic information in text, with a potential role in automated text mining. This report outlines essential features of the theory, its application in computational work, and the rationale for use in automated text mining, and develops a grammatical annotation scheme-- word functions--to enrich a mixed text corpus of newspaper articles and e-mails, for machine learning of semantically-oriented grammatical patterns. Testing demonstrates high accuracy in predicting word functions in unseen text in co-training with other grammatical information, providing the basis for further grammatical and semantic text processing.