PERT: A New Solution to Pinyin to Character Conversion Task
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Abstract (arXiv)
Pinyin to Character conversion (P2C) task is the key task of Input Method Engine (IME) in commercial input software for Asian languages, such as Chinese, Japanese, Thai language and so on. It's usually treated as sequence labelling task and resolved by language model, i.e. n-gram or RNN. However, the low capacity of the n-gram or RNN limits its performance. This paper introduces a new solution named PERT which stands for bidirectional Pinyin Encoder Representations from Transformers. It achieves significant improvement of performance over baselines. Furthermore, we combine PERT with n-gram under a Markov framework, and improve performance further. Lastly, the external lexicon is incorporated into PERT so as to resolve the OOD issue of IME.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 11 of its 37 references that are in the map. First posted on arXiv 24 May 2022.
Builds on
11 of 37 references.
References · 11
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2 papers.