Abstract
Machine Translation is a popular area of NLP research field. There are various approaches to develop a machine translation system like Rule-Based, Statistical, Neural and Hybrid. A rule-Based system is based on grammatical rules and uses bilingual lexicons. Statistical and Neural use the large parallel corpus for training the respective models. Where the Hybrid MT system is a mixture of different approaches. In these days the corpus-based machine translation system is quite popular in NLP research area. But these models demands huge parallel corpus. In this research, we have used a hybrid approach to develop Urdu to Punjabi machine translation system. In the developed system, statistical and various sub-system based on the linguistic rule has been used. The system yield 80% accuracy on a different set of the sentence related to domains like Political, Entertainment, Tourism, Sports and Health. The complete system has been developed in a C#.NET programming language.- Anthology ID:
- 2020.icon-demos.6
- Volume:
- Proceedings of the 17th International Conference on Natural Language Processing (ICON): System Demonstrations
- Month:
- DECEMBER
- Year:
- 2020
- Address:
- Patna, India
- Editors:
- Vishal Goyal, Asif Ekbal
- Venue:
- ICON
- SIG:
- Publisher:
- NLP Association of India (NLPAI)
- Note:
- Pages:
- 16–18
- Language:
- URL:
- https://aclanthology.org/2020.icon-demos.6
- DOI:
- Cite (ACL):
- Umrinder Pal Singh, Vishal Goyal, and Gurpreet Lehal. 2020. Urdu To Punjabi Machine Translation System. In Proceedings of the 17th International Conference on Natural Language Processing (ICON): System Demonstrations, pages 16–18, Patna, India. NLP Association of India (NLPAI).
- Cite (Informal):
- Urdu To Punjabi Machine Translation System (Singh et al., ICON 2020)
- PDF:
- https://preview.aclanthology.org/corrections-2024-07/2020.icon-demos.6.pdf