A Bengali-Hindi-Telugu parallel corpus for enhanced literary machine translation
. The development process of BHT25 followed structured data cleaning, preprocessing, sentence alignment, and human validation procedures. Each sentence triplet is assigned a unique identifier to ensure traceability and a systematic analysis. The dataset is released under the CC-BY-4.0 license on Hugging Face, along with preprocessing scripts and documentation, to support research on Indic machine translation and multilingual literary processing. An extended version, annotated with four emotion labels (joy, sadness, anger, fear) and pairwise semantic similarity scores, is also included to support future research on emotion-aware translation and semantic consistency.
Authors
- Aruna Priya (ORCID: https://orcid.org/0000-0002-2431-0543)
- Anik Nandi (ORCID: https://orcid.org/0000-0001-8254-6637)
- Suryakanth V. Gangashetty (ORCID: https://orcid.org/0000-0001-6745-4363)
- Sudeshna Sani (ORCID: https://orcid.org/0000-0001-9380-6633)
- Akhilesh Kumar Dubey
- Vineeth Kumar
- Samudravijaya K
Institutions
- Woxsen School of Business (IN)
- ICFAI Foundation for Higher Education (IN)
- Koneru Lakshmaiah Education Foundation (IN)
Publication Details
- Journal
- Data in Brief
- Published
- 2026-04-14
- DOI
- https://doi.org/10.1016/j.dib.2026.112775
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Electronics and Information technology