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The corpus contains transliteration pairs for Hindi-English. These pairs were obtained via crowdsourcing by asking workers to transliterate Hindi words into the Roman script. The tasks were done on Amazon Mechanical Turk and yielded a total of 14919 pairs.

The details regarding the dataset are mentioned in the following paper. Kindly cite this paper if you are using this dataset for research:

Mitesh M. Khapra, Ananthakrishnan Ramanathan, Anoop Kunchukuttan, Karthik Visweswariah, Pushpak Bhattacharyya. When Transliteration Met Crowdsourcing : An Empirical Study of Transliteration via Crowdsourcing using Efficient, Non-redundant and Fair Quality Control . Language and Resources and Evaluation Conference (LREC 2014). 2014.

Xlit-Crowd: Hindi-English Transliteration Corpus by Mitesh Khapra is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.