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SentMix-3L: A Bangla-English-Hindi Code-Mixed Dataset for Sentiment Analysis

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arxiv 2310.18023 v2 pith:UDUCMZDH submitted 2023-10-27 cs.CL

Md Nishat Raihan , Dhiman Goswami , Antara Mahmud , Antonios Anastasopoulos , Marcos Zampieri This is my paper · ORCID
classification cs.CL
keywords languagessentmix-3lcode-mixedcode-mixinganalysisdatasetdatasetsmodels
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Code-mixing is a well-studied linguistic phenomenon when two or more languages are mixed in text or speech. Several datasets have been build with the goal of training computational models for code-mixing. Although it is very common to observe code-mixing with multiple languages, most datasets available contain code-mixed between only two languages. In this paper, we introduce SentMix-3L, a novel dataset for sentiment analysis containing code-mixed data between three languages Bangla, English, and Hindi. We carry out a comprehensive evaluation using SentMix-3L. We show that zero-shot prompting with GPT-3.5 outperforms all transformer-based models on SentMix-3L.

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  1. CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback

    cs.CL 2024-11 conditional novelty 5.0 of 10

    CHAI trains a reward model on GPT-4o preference labels and uses PPO to align Llama-3.1-8B for English-to-Hinglish translation, claiming a 25.66% human win-rate improvement over baselines.

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