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In our talk, we present the structure and the linguistic resources currently included in the LiLa Knowledge Base, i.e. a collection of multifarious textual and lexical resources for Latin described with the same vocabulary of knowledge description and interlinked according to the principles of the Linked Data paradigm. We also present a set of lemma embeddings for Latin and a couple of experiments using such embeddings for inducing sentiment lexicons and for analyzing diachronical language change in two Latin corpora.
word embeddings, language change detection, sentiment analysis, latin, linked data
word embeddings, language change detection, sentiment analysis, latin, linked data
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