欧几里得,乌,狼和行人:语言类型学的距离度量
Matías Guzmán Naranjo1, Gerhard Jäger2
1Linguistics, Albert-Ludwigs-Universitat Freiburg, Freiburg, Baden-Württemberg, 79085, Germany.
Open research Europe
|July 11, 2024
概括
这项研究为超过8700个lects引入了新的步行和地形距离指标,提高了语言地理学的准确性. 地形和地测距离为语言接触研究提供了最可靠的测量方法.
科学领域:
- 语言学的语言学.
- 计算语言学 计算语言学
- 地理信息科学 地理信息科学
背景情况:
- 准确的距离指标对于研究语言地理,语言接触和类型学至关重要.
- 像欧几里德和地测距离这样的现有方法往往无法准确地代表语言社区之间的真实分离.
- 需要更精确的距离测量,考虑到地理和地形因素.
研究的目的:
- 介绍和评估超过8700个地区之间的步行和地形距离的新数据集.
- 将这些新指标的性能与传统的欧几里德和地测距离进行比较.
- 为语言研究中适当的距离指标提供建议.
主要方法:
- 使用OpenStreetMap数据收集了超过8700个地区的步行距离.
- 使用数字海拔数据计算地形距离.
- 在三个案例研究中评估了四个距离指标 (欧几里德,地测,步行,地形).
主要成果:
- 地形和地测距离在不同数据集中表现最一致.
- 步行距离为衡量社区间隔离提供了一种新的方法.
- 欧几里得距离虽然不那么准确,但在某些场景中提供了可行的近似值,特别是在大面积或不精确的位置数据的情况下.
结论:
- 在语言学研究中,推地形和地测距离作为测量学科分离的可靠选择.
- 步行距离提供了一种有价值的新指标,特别是在理解人类流动性及其对语言接触的影响方面.
- 当计算效率或数据精度是限制因素时,欧几里德距离可以作为一个实际的替代方案.
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