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- W4248416885 abstract "<ns4:p>Although lexical borrowing is an important aspect of language evolution, there have been few attempts to automate the identification of borrowings in lexical datasets. Moreover, none of the solutions which have been proposed so far identify borrowings across multiple languages. This study proposes a new method for the task and tests it on a newly compiled large comparative dataset of 48 South-East Asian languages. The method yields very promising results, while it is conceptually straightforward and easy to apply. This makes the approach a perfect candidate for computer-assisted exploratory studies on lexical borrowing in contact areas.</ns4:p>" @default.
- W4248416885 created "2022-05-12" @default.
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- W4248416885 date "2021-07-15" @default.
- W4248416885 modified "2023-09-26" @default.
- W4248416885 title "Automated identification of borrowings in multilingual wordlists" @default.
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- W4248416885 doi "https://doi.org/10.12688/openreseurope.13843.1" @default.
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