Computational historical linguistics seeks to systematically understand processes of sound change, including during periods at which little to no formal recording of language is attested. At the same time, few computational resources exist which deeply explore phonological and morphological connections between proto-languages and their descendants. This is particularly true for the family of Italic languages. To assist historical linguists in the study of Italic sound change, we introduce the Proto-Italic to Latin (PILA) dataset, which consists of roughly 3,000 pairs of forms from Proto-Italic and Latin. We provide a detailed description of how our dataset was created and organized. Then, we exhibit PILA's value in two ways. First, we present baseline results for PILA on a pair of traditional computational historical linguistics tasks. Second, we demonstrate PILA's capability for enhancing other historical-linguistic datasets through a dataset compatibility study.

翻译：摘要：计算历史语言学致力于系统性地理解语音演变过程，尤其关注缺乏正式语言记录的历史时期。然而，目前鲜有计算资源能深入探索原始语言与其后代语言之间的音系及形态联系，这在意大利语族研究中尤为突出。为辅助历史语言学家研究意大利语族的语音演变，我们提出了原始意大利语至拉丁语（PILA）数据集，该数据集包含约3000组原始意大利语与拉丁语的对应词形。我们详细阐述了数据集的构建方法与组织架构，并通过两种方式展示其价值：首先，我们在两项传统计算历史语言学任务上提供了PILA的基线结果；其次，通过数据集兼容性研究，我们论证了PILA在增强其他历史语言学数据集方面的潜力。