Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach

Pinni Venkata Abhiram; Ananya Rathore; Abhir Mirikar; Hari Krishna S; Sheena Christabel Pravin; Vishwanath Kamath Pethri; Manjunath Lokanath Belgod; Reetika Gupta; K Muthukumaran

arXiv · 2403.05982

Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach

Pinni Venkata Abhiram·Ananya Rathore·Abhir Mirikar·Hari Krishna S·Sheena Christabel Pravin·Vishwanath Kamath Pethri·Manjunath Lokanath Belgod·Reetika Gupta·K Muthukumaran

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Abstract

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.

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Pinni Venkata Abhiram, Ananya Rathore, Abhir Mirikar, Hari Krishna S, Sheena Christabel Pravin, Vishwanath Kamath Pethri, Manjunath Lokanath Belgod, Reetika Gupta, K Muthukumaran. 2024-03-09. Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach. https://arxiv.org/abs/2403.05982

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