用伽利略半环实现OpenFst中的φ-转换，高效支持词元化算法。
Tutorial: $φ$-Transductions in OpenFst via the Gallic Semiring
- 借助伽利略半环绕过OpenFst对φ-转换的限制
- 成功实现MaxMatch（WordPiece）分词算法
- 适合需要高效文本分词的语音与自然语言处理研究者
OpenFst 是一个流行的有限状态转换器库，虽支持 φ-转换，但受实现限制，无法直接使用。本文简明教程介绍如何利用 OpenFst 提供的伽利略半环功能，正确实现 φ-转换，并以 Devlin 等（2019）和 Song 等（2021）提出的 MaxMatch（WordPiece）分词算法为例进行演示。配套提供可独立运行的代码示例，便于复现与应用。
原文摘要 · Abstract (English)
OpenFst, a popular finite-state transducer library, supports $φ$-transitions but, due to an implementation constraint, they cannot be used with transducers in a straightforward way. In this short tutorial, we describe how one can use other functionality provided by OpenFst (namely, the Gallic semiring) to correctly implement $φ$-transductions and demonstrate it by implementing the MaxMatch (WordPiece) tokenization algorithm (Devlin et al., 2019; Song et al., 2021). Accompanying self-contained code examples are provided. https://www.openfst.org/twiki/pub/Contrib/FstContrib/phi_transduction_tutorial_code.tgz
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