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Pinyin to Character conversion (P2C) task is the key task of Input MethodEngine (IME) in commercial input software for Asian languages, such as Chinese,Japanese, Thai language and so on. It's usually treated as sequence labellingtask and resolved by language model, i.e. n-gram or RNN. However, the lowcapacity of the n-gram or RNN limits its performance. This paper introduces anew solution named PERT which stands for bidirectional Pinyin EncoderRepresentations from Transformers. It achieves significant improvement ofperformance over baselines. Furthermore, we combine PERT with n-gram under aMarkov framework, and improve performance further. Lastly, the external lexiconis incorporated into PERT so as to resolve the OOD issue of IME.

PERT: A New Solution to Pinyin to Character Conversion Task