论文标题
使用修剪对应模式的快速自动化语音重建的新框架
A New Framework for Fast Automated Phonological Reconstruction Using Trimmed Alignments and Sound Correspondence Patterns
论文作者
论文摘要
在过去的十年中，历史语言学中的计算方法已经越来越多地应用，并且已经提出了许多实施传统比较方法的新方法。尽管做出了增加的努力，但对于语音重建的任务来说，并没有很多易于使用和快速的方法。在这里，我们提出了一个新的框架，该框架结合了最新的技术，用于自动序列比较与新型技术进行语音对准分析和声音对应模式检测，以允许以祖先语言对单词形式进行监督重建。我们在一个新的数据集上测试了该方法，该数据集涵盖了来自三个不同语言系列的六个组。结果表明，我们的方法可产生令人鼓舞的结果，同时不仅快速运行，而且易于应用和扩展。
Computational approaches in historical linguistics have been increasingly applied during the past decade and many new methods that implement parts of the traditional comparative method have been proposed. Despite these increased efforts, there are not many easy-to-use and fast approaches for the task of phonological reconstruction. Here we present a new framework that combines state-of-the-art techniques for automated sequence comparison with novel techniques for phonetic alignment analysis and sound correspondence pattern detection to allow for the supervised reconstruction of word forms in ancestral languages. We test the method on a new dataset covering six groups from three different language families. The results show that our method yields promising results while at the same time being not only fast but also easy to apply and expand.
