joyson117/english-manipuri-parallel-docs

Document-level English-Manipuri Corpus

About

This English-Manipuri corpus contains an expanded document-level parallel corpus for English-Manipuri of the following paper.

Dataset Statistics

Our Dataset contains approximately 18549 parallel documents from PIB and PMI websites.

How to Use

You can load the dataset using the Huggingface datasets library:

from datasets import load_dataset

# Load the dataset
parallel_docs = load_dataset(
    "joyson117/english-manipuri-parallel-docs"
)

Cite

If you use this corpus or its derivative resources for your research, kindly cite it as follows:

T. J. Singh, S. R. Singh and P. Sarmah, "English-Manipuri Machine Translation: An empirical study of different Supervised and Unsupervised Methods," 2021 International Conference on Asian Language Processing (IALP), Singapore, Singapore, 2021, pp. 142-147, doi: 10.1109/IALP54817.2021.9675167.

BiBTeX Citation

@INPROCEEDINGS{9675167,
  author={Telem Joyson Singh, Sanasam Ranbir Singh and Priyankoo Sarmah},
  booktitle={2021 International Conference on Asian Language Processing (IALP)}, 
  title={English-Manipuri Machine Translation: An empirical study of different Supervised and Unsupervised Methods}, 
  year={2021},
  pages={142-147},
  doi={10.1109/IALP54817.2021.9675167}}