Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach
<|reference_start|>Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach: The paper presents a novel Auto Language Prediction Dictionary Capsule (ALPDC) framework for language prediction and machine translation. The model uses a combination of neural networks and symbolic representations to predict the language of a given input text and then translate it to a target language using pre-built dictionaries. This research work also aims to translate the text of various languages to its literal meaning in English. The proposed model achieves state-of-the-art results on several benchmark datasets and significantly improves translation accuracy compared to existing methods. The results show the potential of the proposed method for practical use in multilingual communication and natural language processing tasks.<|reference_end|>
@article{abhiram2024enhanced,
    title={Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel
  Approach},
    author={Pinni Venkata Abhiram, Ananya Rathore, Abhir Mirikar, Hari Krishna S,
  Sheena Christabel Pravin, Vishwanath Kamath Pethri, Manjunath Lokanath
  Belgod, Reetika Gupta, K Muthukumaran},
    journal={arXiv preprint arXiv:2403.05982},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.05982},
    primaryClass={cs.CL}
}