Empirical comparison on Chinese mobile input shows n-gram and neural models have complementary strengths, with their hybrid delivering significant gains over single approaches.
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
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Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile
Empirical comparison on Chinese mobile input shows n-gram and neural models have complementary strengths, with their hybrid delivering significant gains over single approaches.