Elamur Research⌕
☰
home / venues / Proceedings for the International… / 2019 / papers

Proceedings for the International Workshop on Computational Approaches to Language Change 2019: all accepted papers

34 papers · the most cited first · ← Proceedings for the International Workshop on Computational Approaches to Language Change 2019

  1. Evaluation of Semantic Change of Harm-Related Concepts in PsychologyEkaterina Vylomova, Sean Murphy, Nicholas Haslam31 citations
  2. GASC: Genre-Aware Semantic Change for Ancient GreekValerio Perrone, Marco Palma, Simon Hengchen et al.26 citations
  3. Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914Rocco Tripodi, Massimo Warglien, Simon Levis Sullam et al.15 citations
  4. Studying Laws of Semantic Divergence across Languages using Cognate SetsAna Uban, Alina Maria Ciobanu, Liviu P. Dinu14 citations
  5. Contextualized Diachronic Word RepresentationsGanesh Jawahar, Djamé Seddah11 citations
  6. Grammar and Meaning: Analysing the Topology of Diachronic Word EmbeddingsYuri Bizzoni, Stefania Degaetano-Ortlieb, Katrin Menzel et al.9 citations
  7. ParHistVis: Visualization of Parallel Multilingual Historical DataAikaterini-Lida Kalouli, Rebecca Kehlbeck, Rita Sevastjanova et al.8 citations
  8. Visualizing Linguistic Change as Dimension InteractionsChristin Schätzle, Frederik L. Dennig, Michael Blumenschein et al.5 citations
  9. Semantic Change in the Language of UK Parliamentary DebatesGavin Abercrombie, Riza Batista-Navarro4 citations
  10. Understanding the Evolution of Circular Economy through Language ChangeSampriti Mahanty, Frank Boons, Julia Handl et al.4 citations
  11. Towards Automatic Variant Analysis of Ancient Devotional TextsAmir Hazem, Béatrice Daille, Dominique Stutzmann et al.2 citations
  12. Detecting Syntactic Change Using a Neural Part-of-Speech TaggerWilliam Merrill, Gigi Stark, Robert Frankour summary
  13. Measuring the Compositionality of Noun-Noun Compounds over TimePrajit Dhar, Janis Pagel, Lonneke van der Plas
  14. Spatio-Temporal Prediction of Dialectal Variant UsagePéter Jeszenszky, Panote Siriaraya, Philipp Stoeckle et al.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/lchange/2019/papers/