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word-embeddings

topic2 events
papersSEP 10 04:00 UTC

Study traces word-by-word embedding trajectories of Vietnamese legal headlines

A cs.CL paper on arXiv examines how dense retrieval models build question representations incrementally by encoding 2,144 held-out headlines from the Thu Vien Phap Luat Vietnamese legal library one word at a time. The authors track these embedding trajectories using Nemotron-3-Embed (8B/1B) and Qwen3-Embedding (8B/0.6B) models, offering insight into how vector representations evolve as words arrive. The v2 listing replaces the earlier version of the paper.

embeddings/retrieval/vietnamese/research
papersSEP 10 04:00 UTC

Study proposes evaluation of diachronic semantic change in Sinhala

A new arXiv paper examines how word meanings in Sinhala have shifted over long historical periods, focusing on a language with limited textual resources. The authors tackle obstacles such as sparse historical corpora and the drawbacks of static embedding alignment techniques when measuring semantic drift. The work contributes an evaluation approach for diachronic semantic change in low-resource NLP settings.

nlp/low-resource/semantics/research