Cognate Identification and Alignment Using Practical Orthographies

Michael Cysouw, H. Jung
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引用次数: 11

Abstract

We use an iterative process of multi-gram alignment between associated words in different languages in an attempt to identify cognates. To maximise the amount of data, we use practical orthographies instead of consistently coded phonetic transcriptions. First results indicate that using practical orthographies can be useful, the more so when dealing with large amounts of data.
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使用实用正字法的同源识别和对齐
我们在不同语言的关联词之间使用多克对齐的迭代过程,试图识别同源词。为了最大限度地提高数据量,我们使用实用的正字法而不是一致编码的语音转录。第一个结果表明,使用实用的正字法可能是有用的,尤其是在处理大量数据时。
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Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness KU-CST at the SIGMORPHON 2020 Task 2 on Unsupervised Morphological Paradigm Completion Linguist vs. Machine: Rapid Development of Finite-State Morphological Grammars Exploring Neural Architectures And Techniques For Typologically Diverse Morphological Inflection SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team
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