Representations of Language Varieties Are Reliable Given Corpus Similarity Measures

3 April 2021

Papers citing "Representations of Language Varieties Are Reliable Given Corpus Similarity Measures"

10 / 10 papers shown

Title
Pre-Trained Language Models Represent Some Geographic Populations Better Than Others Jonathan Dunn Benjamin Adams Harish Tayyar Madabushi 56 4 0 16 Mar 2024
Validating and Exploring Large Geographic Corpora Jonathan Dunn 63 0 0 13 Mar 2024
Quantifying the Dialect Gap and its Correlates Across Languages Anjali Kantharuban Ivan Vulić Anna Korhonen 87 23 0 23 Oct 2023
Split-and-Denoise: Protect large language model inference with local differential privacy Peihua Mai Ran Yan Zhe Huang Youjia Yang Yan Pang 71 14 0 13 Oct 2023
Variation and Instability in Dialect-Based Embedding Spaces Jonathan Dunn 71 3 0 27 Mar 2023
Exposure and Emergence in Usage-Based Grammar: Computational Experiments in 35 Languages Jonathan Dunn 107 8 0 25 Nov 2022
Register Variation Remains Stable Across 60 Languages Haipeng Li Jonathan Dunn A. Nini 92 9 0 20 Sep 2022
Corpus Similarity Measures Remain Robust Across Diverse Languages Haipeng Li Jonathan Dunn 64 7 0 09 Jun 2022
Predicting Embedding Reliability in Low-Resource Settings Using Corpus Similarity Measures Jonathan Dunn Haipeng Li Damian Sastre 49 5 0 09 Jun 2022
Learned Construction Grammars Converge Across Registers Given Increased Exposure Jonathan Dunn Harish Tayyar Madabushi 63 8 0 12 Oct 2021