Hindi English Code

Hindi-English code-mixing, the blending of Hindi and English within the same text, is a significant area of natural language processing (NLP) research focusing on developing computational models to understand and process such code-mixed data. Current research emphasizes tasks like emotion recognition, hate speech detection, and machine translation in code-mixed contexts, often employing transformer-based architectures like BERT and its variants, along with multilingual models. These advancements are crucial for improving the accuracy and efficiency of NLP applications in multilingual settings, particularly for the large and diverse Hindi-speaking population, and for bridging the digital divide in low-resource language scenarios.