Papers with addressing data augmentation

1 papers
Detecting Loanwords in Emakhuwa: An Extremely Low-Resource Bantu Language Exhibiting Significant Borrowing from Portuguese (2024.lrec-main)

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Challenge: Existing corpora in African languages reveal significant spelling inconsistencies, contributing to poor-quality textual data when encountered in written form.
Approach: They propose a supervised method to identify loanwords in Portuguese . they employ traditional machine learning algorithms incorporating handcrafted features .
Outcome: The proposed method achieves the F1-score of 93% in Emakhuwa, borrowed from Portuguese.

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