Chinese input is one of the key challenges for Chinese PC users. This paper proposes a statistical approach to Pinyin-based Chinese input. This approach uses a trigram-based language model and a statistically based segmentation. Also, to deal with real input, it also includes a typing model which enables spelling correction in sentence-based Pinyin input, and a spelling model for English which enables modeless Pinyin input.
REF used a trigram language model and incorporated word segmentation to convert pinyin sequence to Chinese word sequences.
A New Statistical Approach To Chinese Pinyin Input
Annual Meeting Of The Association For Computational Linguistics
Computer Science