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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.05982 |
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| _version_ | 1866913260535545856 |
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| author | Abhiram, Pinni Venkata Rathore, Ananya Mirikar, Abhir S, Hari Krishna Pravin, Sheena Christabel Pethri, Vishwanath Kamath Belgod, Manjunath Lokanath Gupta, Reetika Muthukumaran, K |
| author_facet | Abhiram, Pinni Venkata Rathore, Ananya Mirikar, Abhir S, Hari Krishna Pravin, Sheena Christabel Pethri, Vishwanath Kamath Belgod, Manjunath Lokanath Gupta, Reetika Muthukumaran, K |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_05982 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach Abhiram, Pinni Venkata Rathore, Ananya Mirikar, Abhir S, Hari Krishna Pravin, Sheena Christabel Pethri, Vishwanath Kamath Belgod, Manjunath Lokanath Gupta, Reetika Muthukumaran, K Computation and Language 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. |
| title | Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2403.05982 |