DesiPayanam: developing an Indic travel partner
Diviya K N, Mrinalini K, Vijayalakshmi P, Thenmozhi J, Nagarajan T
Abstract
Domain-specific machine translation (MT) systems are essential in bridging the communication gap between people across different businesses, economies, and countries. India, a linguistically rich country with a booming tourism industry is a perfect market for such an MT system. On this note, the current work aims to develop a domain-specific transformer-based MT system for Hindi-to-Tamil translation. In the current work, neural-based MT (NMT) model is trained from scratch and the hyper-parameters of the model architecture are modified to analyze its effect on the translation performance. Further, a finetuning approach is adopted to finetune a pretrained transformer MT model to better suit the tourism domain. The proposed experiments are observed to improve the BLEU scores of the translation system by a maximum of 1% and 4% for the training from scratch and finetuned systems respectively.- Anthology ID:
- 2024.icon-1.97
- Volume:
- Proceedings of the 21st International Conference on Natural Language Processing (ICON)
- Month:
- December
- Year:
- 2024
- Address:
- AU-KBC Research Centre, Chennai, India
- Editors:
- Sobha Lalitha Devi, Karunesh Arora
- Venue:
- ICON
- SIG:
- Publisher:
- NLP Association of India (NLPAI)
- Note:
- Pages:
- 480–484
- Language:
- URL:
- https://preview.aclanthology.org/icon-24-ingestion/2024.icon-1.97/
- DOI:
- Cite (ACL):
- Diviya K N, Mrinalini K, Vijayalakshmi P, Thenmozhi J, and Nagarajan T. 2024. DesiPayanam: developing an Indic travel partner. In Proceedings of the 21st International Conference on Natural Language Processing (ICON), pages 480–484, AU-KBC Research Centre, Chennai, India. NLP Association of India (NLPAI).
- Cite (Informal):
- DesiPayanam: developing an Indic travel partner (K N et al., ICON 2024)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/2024.icon-1.97.pdf