2024
NAACL
NAACL 2024
Hidetsune at SemEval-2024 Task 10: An English Based Approach to Emotion Recognition in Hindi-English code-mixed Conversations Using Machine Learning and Machine Translation
Abstract
AbstractIn this system paper for SemEval-2024 Task10 subtask 1 (ERC), I present my approach to recognizing emotions in Hindi-English codemixed conversations. I train a SpaCy model with English translated data and classify emotions behind Hindi-English code-mixed utterances by using the model and translating them into English. I use machine translation to translate all the data in Hindi-English mixed language into English due to an easy access to existing data for emotion recognition in English. Some additional data in English are used to enhance my model. This English based approach demonstrates a fundamental possibility and potential of simplifying code-mixed language into one major language for emotion recognition.
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio