将声音分组成不断演变的单元,用于历史语言比较的目的
Johann-Mattis List1,2, Nathan W Hill3, Frederic Blum2
1Chair of Multilingual Computational Linguistics, University of Passau, Passau, Bavaria, 94032, Germany.
Open research Europe
|June 26, 2024
概括
计算历史语言学在新的声音序列模型方面取得了进展. 这通过将分段分组成不断演变的单元来改善捕获特定语言的声音规律,从而增强了传统的比较方法.
科学领域:
- 计算语言学计算语言学
- 历史语言学的语言学.
- 语音学 语音学 语音学 语音学
背景情况:
- 计算机辅助的历史语言比较已经取得了重大进展.
- 当前的计算工具注释相关词,对准单词,并识别声音对应.
- 现有的方法使用了严格的序列模型,将单词细分为固定的声音单元,这限制了捕捉细微的声音规律.
研究的目的:
- 为计算历史语言学引入改进的声音序列表示.
- 弥合计算方法与传统比较方法之间的差距.
- 为了提高捕获特定语言声音规律的效率.
主要方法:
- 开发新的声音序列表示,其中可以将单个声音段分组成不断演变的声音单元.
- 用具体的例子说明这些增强表示的实用性.
- 提供软件库,用于在固定的和不断变化的声音单元细分之间进行数据转换.
主要成果:
- 增强的表示允许更有效地捕获特定语言的声音规律.
- 通过实践例子证明了它的有用性.
- 一个功能性的软件库可用于数据转换.
结论:
- 拟议的不断演变的声音单位表示增强了计算历史语言学.
- 这种方法更好地反映了使用传统比较方法的学者的做法.
- 该软件有助于采用这些改进的方法.
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