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Survey details methods for characterizing semantic change in language

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This survey paper examines methods for characterizing semantic change in language, a phenomenon that impacts computational linguistics tasks like translation and information retrieval. It formally defines three categories of semantic change: alterations in generality, shifts in sentiment (pejorative or positive), and changes in contextual usage (e.g., metaphoric or metonymic). The paper aims to provide an overview of existing approaches and identify future research directions in this area. AI

IMPACT Provides a structured overview of semantic change characterization, aiding NLP model development and evaluation.

RANK_REASON This is a survey paper published on arXiv detailing methods for characterizing semantic change in language.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Survey details methods for characterizing semantic change in language

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This is a survey paper published on arXiv detailing methods for characterizing semantic change in language.
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jader Martins Camboim de S\'a, Marcos Da Silveira, C\'edric Pruski ·

    Survey in Characterizing Semantic Change

    arXiv:2402.19088v5 Announce Type: replace Abstract: Live languages continuously evolve to integrate the cultural change of human societies. This evolution manifests through neologisms (new words) or \textbf{semantic changes} of words (new meaning to existing words). Understanding…

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