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        <title>Automating Interlingual Homograph Recognition with Parallel Sentences</title>
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    <abstract>Interlingual homographs are words that spell the same but possess different meanings across languages. Recognizing interlingual homographs from form-identical words generally needs linguistic knowledge and massive annotation work. In this paper, we propose an automatic interlingual homograph recognition method based on the cross-lingual word embedding similarity and co-occurrence of form-identical words in parallel sentences. We conduct experiments with various off-the-shelf language models coordinating with cross-lingual alignment operations and co-occurrence metrics on the Chinese-Japanese and English-Dutch language pairs. Experimental results demonstrate that our proposed method is able to make accurate and consistent predictions across languages.</abstract>
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%0 Conference Proceedings
%T Automating Interlingual Homograph Recognition with Parallel Sentences
%A Han, Yi
%A Sasano, Ryohei
%A Takeda, Koichi
%Y He, Yulan
%Y Ji, Heng
%Y Li, Sujian
%Y Liu, Yang
%Y Chang, Chua-Hui
%S Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
%D 2022
%8 November
%I Association for Computational Linguistics
%C Online only
%F han-etal-2022-automating
%X Interlingual homographs are words that spell the same but possess different meanings across languages. Recognizing interlingual homographs from form-identical words generally needs linguistic knowledge and massive annotation work. In this paper, we propose an automatic interlingual homograph recognition method based on the cross-lingual word embedding similarity and co-occurrence of form-identical words in parallel sentences. We conduct experiments with various off-the-shelf language models coordinating with cross-lingual alignment operations and co-occurrence metrics on the Chinese-Japanese and English-Dutch language pairs. Experimental results demonstrate that our proposed method is able to make accurate and consistent predictions across languages.
%R 10.18653/v1/2022.findings-aacl.20
%U https://aclanthology.org/2022.findings-aacl.20/
%U https://doi.org/10.18653/v1/2022.findings-aacl.20
%P 211-216

Markdown (Informal)

[Automating Interlingual Homograph Recognition with Parallel Sentences](https://aclanthology.org/2022.findings-aacl.20/) (Han et al., Findings 2022)

• Automating Interlingual Homograph Recognition with Parallel Sentences (Han et al., Findings 2022)

ACL

• Yi Han, Ryohei Sasano, and Koichi Takeda. 2022. Automating Interlingual Homograph Recognition with Parallel Sentences. In Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, pages 211–216, Online only. Association for Computational Linguistics.