Diachronic Word Embeddings

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Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (27 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
  30 May 2016 6 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Understanding how words change their meanings over time is key to models of language and cultural evolution, but historical data on meaning is scarce, making theories hard to develop and test.
• Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings
  16 Jun 2025 1 repository listed
  Measuring how semantics of words change over time improves our understanding of how cultures and perspectives change.
• ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science
  4 Aug 2024 1 repository listed
  This research introduces the Multilevel Embedding Association Test (ML-EAT), a method designed for interpretable and transparent measurement of intrinsic bias in language technologies.
• Tracking Semantic Shifts in German Court Decisions with Diachronic Word Embeddings
  1 Dec 2022 1 repository listed
  Language and its usage change over time.
• Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases
  13 Aug 2021 1 repository listed
  We analyze bias in historical corpora as encoded in diachronic distributional semantic models by focusing on two specific forms of bias, namely a political (i.
• DUKweb: Diachronic word representations from the UK Web Archive corpus
  2 Jul 2021 1 repository listed
  Lexical semantic change (detecting shifts in the meaning and usage of words) is an important task for social and cultural studies as well as for Natural Language Processing applications.
• Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings
  20 Apr 2021 1 repository listed
  In this study, we use temporally aligned word embeddings and a large diachronic corpus of English to quantify language change in a data-driven, scalable way, which is grounded in language use.
• Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers
  12 Mar 2021 1 repository listed
  This paper supplements recent qualitative work on the role of women in abolition's vanguard, as well as the role of the Black press, with a quantitative text modeling approach.
• Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
  9 Sep 2019 1 repository listed
  However, simply knowing that a word has changed in meaning is insufficient to identify the instances of word usage that convey the historical or the newer meaning.
• Contextualized Diachronic Word Representations
  1 Aug 2019 1 repository listed
  We devise a novel attentional model, based on Bernoulli word embeddings, that are conditioned on contextual extra-linguistic (social) features such as network, spatial and socio-economic variables, which are associated…
• Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models
  1 Jul 2019 1 repository listed
  Language usage can change across periods of time, but document classifiers models are usually trained and tested on corpora spanning multiple years without considering temporal variations.
• Training Temporal Word Embeddings with a Compass
  5 Jun 2019 1 repository listed
  Temporal word embeddings have been proposed to support the analysis of word meaning shifts during time and to study the evolution of languages.
• Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914
  4 Jun 2019 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  We investigate some aspects of the history of antisemitism in France, one of the cradles of modern antisemitism, using diachronic word embeddings.
• Temporal Word Analogies: Identifying Lexical Replacement with Diachronic Word Embeddings
  1 Jul 2017 1 repository listed
  One well-known property of word embeddings is that they are able to effectively model traditional word analogies ({``}word w₁ is to word w₂ as word w₃ is to word w₄{''}) through vector addition.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.