Unsupervised TSDAE and CSE adaptation of specialized Latin/Greek LMs yields corpus-specific sentence encoders that outperform multilingual, distilled, and supervised baselines on biblical reuse detection and retrieval.
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From transcription to semantic corpus analysis: unsupervised learning of sentence representations for ancient languages
Unsupervised TSDAE and CSE adaptation of specialized Latin/Greek LMs yields corpus-specific sentence encoders that outperform multilingual, distilled, and supervised baselines on biblical reuse detection and retrieval.