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    <abstract>Cross-lingual word embeddings provide a way for information to be transferred between languages. In this paper we evaluate an extension of a joint training approach to learning cross-lingual embeddings that incorporates sub-word information during training. This method could be particularly well-suited to lower-resource and morphologically-rich languages because it can be trained on modest size monolingual corpora, and is able to represent out-of-vocabulary words (OOVs). We consider bilingual lexicon induction, including an evaluation focused on OOVs. We find that this method achieves improvements over previous approaches, particularly for OOVs.</abstract>
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%0 Conference Proceedings
%T Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages
%A Hakimi Parizi, Ali
%A Cook, Paul
%Y Ku, Lun-Wei
%Y Nastase, Vivi
%Y Vulić, Ivan
%S Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F hakimi-parizi-cook-2021-evaluating
%X Cross-lingual word embeddings provide a way for information to be transferred between languages. In this paper we evaluate an extension of a joint training approach to learning cross-lingual embeddings that incorporates sub-word information during training. This method could be particularly well-suited to lower-resource and morphologically-rich languages because it can be trained on modest size monolingual corpora, and is able to represent out-of-vocabulary words (OOVs). We consider bilingual lexicon induction, including an evaluation focused on OOVs. We find that this method achieves improvements over previous approaches, particularly for OOVs.
%R 10.18653/v1/2021.starsem-1.29
%U https://aclanthology.org/2021.starsem-1.29
%U https://doi.org/10.18653/v1/2021.starsem-1.29
%P 302-307

Markdown (Informal)

[Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages](https://aclanthology.org/2021.starsem-1.29) (Hakimi Parizi & Cook, *SEM 2021)

• Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages (Hakimi Parizi & Cook, *SEM 2021)

ACL

• Ali Hakimi Parizi and Paul Cook. 2021. Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages. In Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, pages 302–307, Online. Association for Computational Linguistics.