Chinese Dialect Identification Based on Genetic Algorithm for Discriminative Training of Bigram Model

摘要

A minimum classification error formulation based on genetic algorithm is proposed for discriminative train- ing of the bigram language model. Results of Chinese dialect- identification were reported which demonstrate performance im- provement with use of the genetic algorithm over the generalized probabilistic descent algorithm.