A5047041180- Natural Language Processing Techniques
- Lexicography and Language Studies
- Translation Studies and Practices
- Linguistics and language evolution
- linguistics and terminology studies
- Medieval Philosophy and Theology
- Medieval Literature and History
- Historical and Linguistic Studies
- Mathematics, Computing, and Information Processing
- History and Theory of Mathematics
- Advanced Algebra and Logic
- Library Science and Information Systems
- Authorship Attribution and Profiling
- Linguistics and Discourse Analysis
- Linguistic Studies and Language Acquisition
- Computability, Logic, AI Algorithms
Università Cattolica del Sacro Cuore
2017-2023
University of Pavia
2018
This paper presents the structure of LiLa Knowledge Base, i.e. a collection multifarious linguistic resources for Latin described with same vocabulary knowledge description and interlinked according to principles so-called Linked Data paradigm. Following its highly lexically based nature, core Base consists large lemmas, serving as backbone achieve interoperability between resources, by linking all those entries in lexical tokens corpora that point lemma. After detailing architecture...
The article presents the process of linking Dictionary Medieval Latin in Czech Lands to LiLa Knowledge Base, which adopts Linked Data paradigm make linguistic resources for interoperable. First, we provide an overview architecture Base and Dictionary; then, detail stages collection lemmas that represents core LiLa. Once completed process, demonstrate what extent publication as proves beneficial by presenting a new text from same area period covered Dictionary. In conclusion, few queries...
This paper investigates the distribution of word formation data through network visualisation, as an entry point for exploration / analysis productivity in affixal derivation Classical Latin. study uses from Word Formation Latin lexicon, a derivational morphology resource Latin, where entries are analysed into their formative components, and relationships between them established on basis rules.
The computational processing of linguistic data raised for the first time need to sistematically treat problem homography. This article puts basis studying homography in Latin. After an overview on possible types homography, authors report results obtained from LEMLAT lemmatizer. Lastly, some research perspectives which are considered necessary order obtain a systematic treatment Latin envisaged.
Federica Iurescia, Eleonora Litta, Marco Passarotti, Matteo Pellegrini, Giovanni Moretti, Paolo Ruffolo. Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. 2023.
The LiLa: Linking Latin project aims to build a Knowledge Base of language resources for the study (corpora, digital lexicons, natural-language-processing tools), based on Linked Open Data paradigm. In this paper, we discuss goals and motivation project. particular, focus role played by lemma as hub node that holds together network linguistic information. architecture LiLa is therefore lemmas their morphological properties. paper illustrates strategies used collection first experiments link...