Papers by Alina Maria Cristea

    2 papers
    Automatic Discrimination between Inherited and Borrowed Latin Words in Romance Languages (2021.findings-emnlp)

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    Challenge: Existing approaches to discriminate between inherited and borrowed Latin words have been used to investigate the problem of automatic discrimination between a language's sound shifts.
    Approach: They propose a new dataset to investigate the problem of automatically discriminating between inherited and borrowed Latin words in Romance languages.
    Outcome: The proposed model can automatically discriminate between inherited and borrowed Latin words on two versions of the dataset, orthographic and phonetic.
    Pater Incertus? There Is a Solution: Automatic Discrimination between Cognates and Borrowings for Romance Languages (2024.lrec-main)

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    Challenge: Existing methods for discriminating between cognates and borrowings are difficult, but they provide a deeper insight into the history of a language and allow for a better characterization of language relatedness.
    Approach: They propose a computational approach for discriminating between cognates and borrowings based on a comprehensive database of Romance cognates.
    Outcome: The proposed approach is the most comprehensive in terms of covered languages.

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