Abstract

Research on academic genre has received widespread attention from linguists around the world. In the big data era, the demand of knowledge mining promotes the emergence and development of bibliometrics, and formal description of scientific knowledge is also put on the agenda. The application of RA move analysis to the field of knowledge mining is a new perspective of bibliometrics. At present, there are few studies on move analysis of Chinese RA introductions, and fewer studies are oriented to discourse computing. This study analyzes the move structures of Chinese RA introductions and finds out some linguistic features corresponding to each move. It is found that nearly half of the Chinese RA introductions follow the CARS model, but there are also unconventional structures. The linguistic features, including citation, negation, connectives and sentence subjects, are helpful for the automatic identification of move structures of Chinese RA introductions.

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