Syllabication algorithms have been developed for many languages because of the important role that syllables play in language processing. However, efforts continue to find better methods. In this study, we take a second look at the performance of two major approaches to syllabication to help determine their relationship to the structure of languages and their orthographies. We applied syllabification to two languages, Igbo and Yoruba, with simple syllable structure. The paper shows that the rule-based approach is not inferior to the data-driven approach as earlier reported for syllables with more complex structures. In addition, the results from the two languages showed that syllabication performance is affected to a certain extent by the orthography of the language in question independent of the structure of the language.

由于音节在语言处理中发挥着重要作用，因此针对多种语言开发了音节化算法。但是，人们继续努力寻找更好的方法。在本研究中，我们再次研究了两种主要的音节化方法的性能，以帮助确定它们与语言结构和拼字法的关系。我们将音节化应用于具有简单音节结构的两种语言伊博语和约鲁巴语。该论文表明，基于规则的方法并不比数据驱动的方法逊色，正如早先针对结构更复杂的音节所报道的那样。此外，两种语言的结果表明，所讨论语言的拼字法在一定程度上影响音节表现，而与语言的结构无关。