Papers by Vithya Yogarajan

2 papers
A Hybrid Architecture for Labelling Bilingual Māori-English Tweets (2022.findings-aacl)

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Challenge: a hybrid approach to annotate mixed Mori-English text is developed . existing language detection tools struggle with interlingual homographs .
Approach: They propose a hybrid approach that couples Mori-language orthography with machine learning to annotate mixed Mi-English text.
Outcome: The proposed approach outperforms existing methods on out-of-domain data.
Language Models for Code-switch Detection of te reo Māori and English in a Low-resource Setting (2022.findings-naacl)

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Challenge: Te reo Mori is New Zealand’s only indigenous language spoken by 4.5% of the population of 5 million.
Approach: They train bilingual sub-word embeddings to detect Mori-English code-switching points using a cloud-based multilingual system such as Google and Microsoft Azure.
Outcome: The proposed model outperforms large-scale contextual models on down streaming tasks of detecting Mori language.

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