Papers by Olga Pelloni

3 papers
A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data Sets (2024.findings-naacl)

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Challenge: a new study aims to assess linguistic diversity of multilingual data sets against a reference language sample . linguistic diversity is typically measured as the number of languages included in the data set . but such measures do not consider structural properties of the included languages .
Approach: They propose to measure linguistic diversity against a reference language sample to maximise linguistic diversity.
Outcome: The proposed measure can be used to identify the types of languages that are not represented in a data set.
Subword Evenness (SuE) as a Predictor of Cross-lingual Transfer to Low-resource Languages (2022.emnlp-main)

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Challenge: English is the most natural choice for cross-lingual transfer, but it is often not the best choice for low-resource languages.
Approach: They propose to use pre-trained multilingual models to improve performance in low-resource languages via cross-lingual transfer.
Outcome: The results show that languages written in non-Latin and non-alphabetic scripts are the best choices for improving performance on Masked Language Modelling tasks in a diverse set of 30 low-resource languages.
TeDDi Sample: Text Data Diversity Sample for Language Comparison and Multilingual NLP (2022.lrec-1)

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Challenge: a deep understanding of language is being achieved through increased access to data from minority and low-resource languages.
Approach: They present a diversity sample of text data for language comparison and multilingual natural language processing.
Outcome: The TeDDi sample features 89 languages based on the typological diversity sample in the World Atlas of Language Structures .

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