@inproceedings{wu-etal-2024-homophone2vec,
title = "{H}omophone2{V}ec: Embedding Space Analysis for Empirical Evaluation of Phonological and Semantic Similarity",
author = "Wu, Sophie and
Zheng, Anita and
Chuang, Joey",
editor = "Fu, Xiyan and
Fleisig, Eve",
booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.acl-srw.34",
pages = "391--396",
abstract = "This paper introduces a novel method for empirically evaluating the relationship between the phonological and semantic similarity of linguistic units using embedding spaces. Chinese character homophones are used as a proof-of-concept. We employ cosine similarity as a proxy for semantic similarity between characters, and compare relationships between phonologically-related characters and baseline characters (chosen as similar-frequency characters). We show there is a strongly statistically significant positive semantic relationship among different Chinese characters at varying levels of sound-sharing. We also perform some basic probing using t-SNE and UMAP visualizations, and indicate directions for future applications of this method.",
}
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%0 Conference Proceedings
%T Homophone2Vec: Embedding Space Analysis for Empirical Evaluation of Phonological and Semantic Similarity
%A Wu, Sophie
%A Zheng, Anita
%A Chuang, Joey
%Y Fu, Xiyan
%Y Fleisig, Eve
%S Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand
%F wu-etal-2024-homophone2vec
%X This paper introduces a novel method for empirically evaluating the relationship between the phonological and semantic similarity of linguistic units using embedding spaces. Chinese character homophones are used as a proof-of-concept. We employ cosine similarity as a proxy for semantic similarity between characters, and compare relationships between phonologically-related characters and baseline characters (chosen as similar-frequency characters). We show there is a strongly statistically significant positive semantic relationship among different Chinese characters at varying levels of sound-sharing. We also perform some basic probing using t-SNE and UMAP visualizations, and indicate directions for future applications of this method.
%U https://aclanthology.org/2024.acl-srw.34
%P 391-396
Markdown (Informal)
[Homophone2Vec: Embedding Space Analysis for Empirical Evaluation of Phonological and Semantic Similarity](https://aclanthology.org/2024.acl-srw.34) (Wu et al., ACL 2024)
ACL