Papers by Priya Rani
MHE: Code-Mixed Corpora for Similar Language Identification (2022.lrec-1)
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| Challenge: | a new corpus of code-mixed data-sets is presented for similar language identification . the data-settings are based on a more-resourced minority language, Magahi . |
| Approach: | They propose a Magahi-Hindi-English code-mixed corpus for similar language identification . they discuss the complexity of the data-set and provide a few baselines . |
| Outcome: | The proposed corpus provides a language id at two levels: word and sentence. |
MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis (2024.lrec-main)
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| Challenge: | Sociolinguists and psychologists have been studying these variations in the lexicons and the language from the 50's . code-mixing is a popular method for understanding people's emotions and attitudes towards various subjects, but low-resourced languages often have a mix of scripts and languages. |
| Approach: | They introduce a new sentiment data, MaCMS, for Magahi-Hindi-English code-mixed language, where Magai is a less-resourced minority language. |
| Outcome: | The proposed dataset is the first Magahi-Hindi-English code-mixed dataset for sentiment analysis tasks. |
Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages (2023.findings-emnlp)
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| Challenge: | Existing approaches to cognate detection focus on orthographic, phonetic or contextual models, which under-perform for most under-resourced languages. |
| Approach: | They propose a language-agnostic weakly-supervised deep cognate detection framework for under-resourced languages using morphological knowledge from closely related languages. |
| Outcome: | The proposed framework outperforms state-of-the-art methods on cognate detection datasets across languages and can be extended to a wide range of languages from any language family. |