词相似度度量和多边比较

Brett Kessler
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引用次数: 13

摘要

语言的系统发育分析需要明确指出所考虑的语言是否彼此相关。最近开发的排列测试允许通过测试一组语言中的单词与另一组语言中的单词在按语义配对时是否比随机配对时明显更相似来探索这个问题。在这种多边比较系统中,当用于检测印欧语系和乌拉尔语系之间的遗传关系时,实施了七种不同的语音相似性度量并评估了它们的有效性。
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Word Similarity Metrics and Multilateral Comparison
Phylogenetic analyses of languages need to explicitly address whether the languages under consideration are related to each other at all. Recently developed permutation tests allow this question to be explored by testing whether words in one set of languages are significantly more similar to those in another set of languages when paired up by semantics than when paired up at random. Seven different phonetic similarity metrics are implemented and evaluated on their effectiveness within such multilateral comparison systems when deployed to detect genetic relations among the Indo-European and Uralic language families.
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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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