Bootstrapping for language resource generation
MH Davel, Etienne Barnard · 2003
This paper describes a method for improving the efficiency of the language resource development process through bootstrapping: iteratively combining machine learning and human knowledge in a way that minimises the human intervention required during the process. Applied to the development of a 10,000-word pronunciation dictionary, it is shown that the amount of human effort can be decreased to less than a quarter of the effort typically required for the manual development of a pronunciation dictionary, without sacrificing accuracy. 1.