用渐进式学习算法重建一种死亡语言的语音

Special Interest Group on Computational Morphology and Phonology Workshop Pub Date : 2007-06-28 DOI:10.3115/1626516.1626524

Eric Smith

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引用次数: 2

摘要

本文讨论了使用渐进学习算法从正字法中重建埃兰语的音系，该算法被重新用于从表面正字法中“学习”潜在的音系形式。提出了关于正字法和音系之间映射困难的实际问题，并强调了优化理论中被忽视的词汇优化模块。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Phonological Reconstruction of a Dead Language Using the Gradual Learning Algorithm

This paper discusses the reconstruction of the Elamite language's phonology from its orthography using the Gradual Learning Algorithm, which was re-purposed to "learn" underlying phonological forms from surface orthography. Practical issues are raised regarding the difficulty of mapping between orthography and phonology, and Optimality Theory's neglected Lexicon Optimization module is highlighted.

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Special Interest Group on Computational Morphology and Phonology Workshop

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