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The Annotation of Liber Abbaci, a Domain-Specific Latin Resource

Authors: Francesco Grotto; Rachele Sprugnoli; Margherita Fantoli; Maria Simi; Flavio Massimiliano Cecchini; Marco Passarotti;

The Annotation of Liber Abbaci, a Domain-Specific Latin Resource

Abstract

The Liber Abbaci (13th century) is a milestone in the history of mathematics and ac counting. Due to the late stage of Latin, its features and its very specialized content, it also represents a unique resource for scholars working on Latin corpora. In this paper we present the annotation and linking work carried out in the frame of the project Fibonacci 1202-2021. A gold-standard lemmatization and part-of-speech tagging allow us to elaborate some first observations on the linguistic and historical features of the text, and to link the text to the Lila Knowledge Base, that has as its goal to make distributed linguistic resources for Latin interoperable by fol- lowing the principles of the Linked Data paradigm. Starting from this specific case, we discuss the importance of annotating and linking scientific and technical texts, in order to (a) compare and search them together with other (non-technical) Latin texts (b) train, apply and evaluate NLP resources on a non-standard variety of Latin. The paper also describes the fruitful interaction and coordination between NLP experts and traditional Latin scholars on a project requiring a large range of expertise.

{"references": ["Grotto, F., Sprugnoli, R., Simi, M., Fantoli, M., Cecchini, F. M., & Passarotti, M. (2021). The Annotation of Liber Abbaci, a Domain-Specific Latin Resource. In Proceedings of the Eighth Italian Conference on Computational Linguistics."]}

Countries
Belgium, Italy
Keywords

4609 Information systems, Linguistic Resources, Computational linguistics; Interoperability; Knowledge based systems, Part-of-Speech tagging, Lemmatization, Fibonacci, Latin, Linguistic annotation, Linguistic Linked Data, Linguistic Linked Open Data

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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