Michele Pulini


2025

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Using Cross-Linguistic Data Formats to Enhance the Annotation of Ancient Chinese Documents Written on Bamboo Slips
Michele Pulini | Johann-Mattis List
Proceedings of the Second Workshop on Ancient Language Processing

Ancient Chinese documents written on bam-boo slips more than 2000 years ago offer a rich resource for research in linguistics, paleogra-phy, and historiography. However, since most documents are only available in the form of scans, additional steps of analysis are needed to turn them into interactive digital editions, amenable both for manual and computational exploration. Here, we present a first attempt to establish a workflow for the annotation of an-cient bamboo slips. Based on a recently redis-covered dialogue on warfare, we illustrate how a digital edition amenable for manual and com-putational exploration can be created by inte-grating standards originally designed for cross-linguistic data collections.

2024

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First Steps Towards the Integration of Resources on Historical Glossing Traditions in the History of Chinese: A Collection of Standardized Fǎnqiè Spellings from the Guǎngyùn
Michele Pulini | Johann-Mattis List
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

Due to the peculiar nature of the Chinese writing system, it is difficult to assess the pronunciation of historical varieties of Chinese. In order to reconstruct ancient pronunciations, historical glossing practices play a crucial role. However, although studied thoroughly by numerous scholars, most research has been carried out in a qualitative manner, and no attempt at providing integrated resources of historical glossing practices has been made so far. Here, we present a first step towards the integration of resources on historical glossing traditions in the history of Chinese. Our starting point are so-called fǎnqiè spellings in the Guǎngyùn, one of the early rhyme books in the history of Chinese, providing pronunciations for more than 20000 Chinese characters. By standardizing digital versions of the resource using tools from computational historical linguistics, we show that we can predict historical spellings with high precision and at the same time shed light on the precision of ancient glossing practices. Although a considerably small first step, our resource could be the starting point for an integrated, standardized collection that could ultimately shed new light on the history of Chinese.