Papers with Lexical borrowing

2 papers
A Neural Network Based Model for Loanword Identification in Uyghur (L18-1)

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Challenge: Lexical borrowing happens in almost all languages, and we propose a new method to identify loanwords in Uyghur.
Approach: They propose a neural network based loanword identification model for Uyghur that captures past and future information and learns both word level and character level features automatically.
Outcome: The proposed model outperforms baseline models on Chinese, Arabic and Russian loanword detection in Uyghur.
ConLoan: A Contrastive Multilingual Dataset for Evaluating Loanwords (2025.acl-long)

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Challenge: Lexical borrowing is a ubiquitous linguistic phenomenon influenced by geopolitical, societal, and technological factors.
Approach: They propose a novel contrastive dataset comprising sentences with and without loanwords across 10 languages to examine how machine translation and language models process loanword .
Outcome: The proposed dataset shows that state-of-the-art models prefer loanwords over native terms and exhibit varying performance across languages.

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