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        <title>Analyzing the Surprising Variability in Word Embedding Stability Across Languages</title>
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        <namePart type="given">Laura</namePart>
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            <title>Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing</title>
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            <namePart type="given">Marie-Francine</namePart>
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            <namePart type="given">Xuanjing</namePart>
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            <namePart type="given">Lucia</namePart>
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    <abstract>Word embeddings are powerful representations that form the foundation of many natural language processing architectures, both in English and in other languages. To gain further insight into word embeddings, we explore their stability (e.g., overlap between the nearest neighbors of a word in different embedding spaces) in diverse languages. We discuss linguistic properties that are related to stability, drawing out insights about correlations with affixing, language gender systems, and other features. This has implications for embedding use, particularly in research that uses them to study language trends.</abstract>
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%0 Conference Proceedings
%T Analyzing the Surprising Variability in Word Embedding Stability Across Languages
%A Burdick, Laura
%A Kummerfeld, Jonathan K.
%A Mihalcea, Rada
%Y Moens, Marie-Francine
%Y Huang, Xuanjing
%Y Specia, Lucia
%Y Yih, Scott Wen-tau
%S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online and Punta Cana, Dominican Republic
%F burdick-etal-2021-analyzing
%X Word embeddings are powerful representations that form the foundation of many natural language processing architectures, both in English and in other languages. To gain further insight into word embeddings, we explore their stability (e.g., overlap between the nearest neighbors of a word in different embedding spaces) in diverse languages. We discuss linguistic properties that are related to stability, drawing out insights about correlations with affixing, language gender systems, and other features. This has implications for embedding use, particularly in research that uses them to study language trends.
%R 10.18653/v1/2021.emnlp-main.476
%U https://aclanthology.org/2021.emnlp-main.476
%U https://doi.org/10.18653/v1/2021.emnlp-main.476
%P 5891-5901

Markdown (Informal)

[Analyzing the Surprising Variability in Word Embedding Stability Across Languages](https://aclanthology.org/2021.emnlp-main.476) (Burdick et al., EMNLP 2021)

• Analyzing the Surprising Variability in Word Embedding Stability Across Languages (Burdick et al., EMNLP 2021)

ACL

• Laura Burdick, Jonathan K. Kummerfeld, and Rada Mihalcea. 2021. Analyzing the Surprising Variability in Word Embedding Stability Across Languages. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 5891–5901, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.