编纂一个古西班牙语数据集用于机器学习
Curation of a Palaeohispanic Dataset for Machine Learning
AI总结：
本文编纂了结构化的古西班牙语数据集，以促进计算方法在该领域的发展，解决现有资源不足和格式不适用的问题。
摘要：
古西班牙语是罗马人于公元前3世纪前到达伊比利亚半岛前在该半岛上使用的语言。在Gómez Moreno破译了伊比利亚莱万特文字后，其研究才得以推进。然而，这些语言的破译程度各不相同，至今没有任何一种语言被完全破译。大多数研究从纯粹语言学角度进行，而计算方法可能对这一领域大有裨益。然而，现有资源有限且格式不适合机器学习等技术。因此，构建了一个结构化的数据集，希望促进该领域的发展。
英文摘要：
Palaeohispanic languages are those spoken in the Iberian Peninsula before the arrival of the Romans in the 3rd Century B.C. Their study was really put on motion after Gómez Moreno deciphered the Iberian Levantine script, one of the several semi-sillabaries used by these languages. Still, the Palaeohispanic languages have varying degrees of decipherment, and none is fully known to this day. Most of the studies have been performed from a purely linguistic point of view, and a computational approach may benefit this research area greatly. However, the resources are limited and presented in an unsuitable format for techniques such as Machine Learning. Therefore, a structured dataset is constructed, which will hopefully allow more progress in the field.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
