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Determining Recurrent Sound Correspondences by Inducing Translation Models

机译:通过归纳翻译模型确定递归声音对应

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摘要

I present a novel approach to the determination of recurrent sound correspondences in bilingual wordlists. The idea is to relate correspondences between sounds in wordlists to translational equivalences between words in bitexts (bilingual corpora). My method induces models of sound correspondence that are similar to models developed for statistical machine translation. The experiments show that the method is able to determine recurrent sound correspondences in bilingual wordlists in which less than 30% of the pairs are cognates. By employing the discovered correspondences, the method can identify cognates with higher accuracy than the previously reported algorithms.
机译:我提出了一种新颖的方法来确定双语单词列表中的重复声音对应。这个想法是将单词列表中的声音之间的对应关系与bitexts(双语语料库)中单词之间的翻译对等关系相关联。我的方法产生的声音对应模型与为统计机器翻译开发的模型相似。实验表明,该方法能够确定双语单词列表中少于30%的配对的重复声音对应。通过使用发现的对应关系,该方法可以比以前报告的算法更准确地识别同人字。

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