Abstract
This paper presents a new set of lemma embeddings for the Latin language. Embeddings are
trained on a manually annotated corpus of texts belonging to the Classical era: different models,
architectures and dimensions are tested and evaluated using a novel benchmark for the synonym
selection task. In addition, we release vectors pre-trained on the “Opera Maiora” by Thomas
Aquinas, thus providing a resource to analyze Latin in a diachronic perspective. The embeddings
built upon the two training corpora are compared to each other to support diachronic lexical
studies. The words showing the highest usage change between the two corpora are reported and
a selection of them is discussed.
Lingua originale | English |
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pagine (da-a) | 29-45 |
Numero di pagine | 17 |
Rivista | IJCOL |
Volume | 6 |
Stato di pubblicazione | Pubblicato - 2020 |
Keywords
- Embeddings
- Latin
- Linguistic resources
- Thomas Aquinas