LiMe: a Latin Corpus of Late Medieval Criminal Sentences
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866916871606894592 |
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| author | Bassani, Alessandra Del Bo, Beatrice Ferrara, Alfio Mangini, Marta Picascia, Sergio Stefanello, Ambra |
| author_facet | Bassani, Alessandra Del Bo, Beatrice Ferrara, Alfio Mangini, Marta Picascia, Sergio Stefanello, Ambra |
| contents | The Latin language has received attention from the computational linguistics research community, which has built, over the years, several valuable resources, ranging from detailed annotated corpora to sophisticated tools for linguistic analysis. With the recent advent of large language models, researchers have also started developing models capable of generating vector representations of Latin texts. The performances of such models remain behind the ones for modern languages, given the disparity in available data. In this paper, we present the LiMe dataset, a corpus of 325 documents extracted from a series of medieval manuscripts called Libri sententiarum potestatis Mediolani, and thoroughly annotated by experts, in order to be employed for masked language model, as well as supervised natural language processing tasks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_12829 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | LiMe: a Latin Corpus of Late Medieval Criminal Sentences Bassani, Alessandra Del Bo, Beatrice Ferrara, Alfio Mangini, Marta Picascia, Sergio Stefanello, Ambra Computation and Language The Latin language has received attention from the computational linguistics research community, which has built, over the years, several valuable resources, ranging from detailed annotated corpora to sophisticated tools for linguistic analysis. With the recent advent of large language models, researchers have also started developing models capable of generating vector representations of Latin texts. The performances of such models remain behind the ones for modern languages, given the disparity in available data. In this paper, we present the LiMe dataset, a corpus of 325 documents extracted from a series of medieval manuscripts called Libri sententiarum potestatis Mediolani, and thoroughly annotated by experts, in order to be employed for masked language model, as well as supervised natural language processing tasks. |
| title | LiMe: a Latin Corpus of Late Medieval Criminal Sentences |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2404.12829 |