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

Autor:	Abhiram, Pinni Venkata, Rathore, Ananya, Mirikar, Abhir, S, Hari Krishna, Pravin, Sheena Christabel, Pethri, Vishwanath Kamath, Belgod, Manjunath Lokanath, Gupta, Reetika, Muthukumaran, K
Rok vydání:	2024
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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. Comment: 21 Pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2403.05982 Zobrazit plný text záznamu View this record from Arxiv