Papers by James A. Brofos

1 papers
Profiling of Intertextuality in Latin Literature Using Word Embeddings (2021.naacl-main)

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Challenge: a new study examines the intertextual relationships between authors in classical Latin literature . a large corpus of lemmatized Latin is used to train word embeddings .
Approach: They propose to train an optimized word2vec model on a large corpus of Latin . they then replicate a previous study of the Roman historian Livy using hand-crafted stylometric features.
Outcome: The proposed model outperforms a widely used lexical search method on Latin epic poetry . it advances the development of core computational resources for a major premodern language .

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