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        <title>Are All Good Word Vector Spaces Isomorphic?</title>
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        <namePart type="given">Ivan</namePart>
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            <namePart type="given">Bonnie</namePart>
            <namePart type="family">Webber</namePart>
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        <name type="personal">
            <namePart type="given">Trevor</namePart>
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    <abstract>Existing algorithms for aligning cross-lingual word vector spaces assume that vector spaces are approximately isomorphic. As a result, they perform poorly or fail completely on non-isomorphic spaces. Such non-isomorphism has been hypothesised to result from typological differences between languages. In this work, we ask whether non-isomorphism is also crucially a sign of degenerate word vector spaces. We present a series of experiments across diverse languages which show that variance in performance across language pairs is not only due to typological differences, but can mostly be attributed to the size of the monolingual resources available, and to the properties and duration of monolingual training (e.g. “under-training”).</abstract>
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        <date>2020-11</date>
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%0 Conference Proceedings
%T Are All Good Word Vector Spaces Isomorphic?
%A Vulić, Ivan
%A Ruder, Sebastian
%A Søgaard, Anders
%Y Webber, Bonnie
%Y Cohn, Trevor
%Y He, Yulan
%Y Liu, Yang
%S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F vulic-etal-2020-good
%X Existing algorithms for aligning cross-lingual word vector spaces assume that vector spaces are approximately isomorphic. As a result, they perform poorly or fail completely on non-isomorphic spaces. Such non-isomorphism has been hypothesised to result from typological differences between languages. In this work, we ask whether non-isomorphism is also crucially a sign of degenerate word vector spaces. We present a series of experiments across diverse languages which show that variance in performance across language pairs is not only due to typological differences, but can mostly be attributed to the size of the monolingual resources available, and to the properties and duration of monolingual training (e.g. “under-training”).
%R 10.18653/v1/2020.emnlp-main.257
%U https://aclanthology.org/2020.emnlp-main.257
%U https://doi.org/10.18653/v1/2020.emnlp-main.257
%P 3178-3192

Markdown (Informal)

[Are All Good Word Vector Spaces Isomorphic?](https://aclanthology.org/2020.emnlp-main.257) (Vulić et al., EMNLP 2020)

• Are All Good Word Vector Spaces Isomorphic? (Vulić et al., EMNLP 2020)

ACL

• Ivan Vulić, Sebastian Ruder, and Anders Søgaard. 2020. Are All Good Word Vector Spaces Isomorphic?. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 3178–3192, Online. Association for Computational Linguistics.