It is very import for Chinese language processing with the aid of an efficient input method engine (IME), of which pinyinto-Chinese (PTC) conversion is the core part. Meanwhile, though typos are inevitable during user pinyin inputting, existing IMEs paid little attention to such big inconvenience. In this paper, motivated by a key equivalence of two decoding algorithms, we propose a joint graph model to globally optimize PTC and typo correction for IME. The evaluation results show that the proposed method outperforms both existing academic and commercial IMEs.
Jia and Zhao proposed a joint graph model to find the global optimum of pinyin to Chinese conversion and typo correction for the input method engine, and achieved better results than previous studies REF .
A Joint Graph Model for Pinyin-to-Chinese Conversion with Typo Correction
ACL
Computer Science