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 1 | ## Xlit-Crowd: Hindi-English Transliteration Corpus
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 3 | 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. 
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 5 | The details regarding the dataset are mentioned in the following paper. Kindly cite this paper if you are using this dataset for research:  
 6 | 
 7 | 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.
 8 | 
 9 | ### License
10 | 
11 | <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /></a><br /><span xmlns:dct="http://purl.org/dc/terms/" href="http://purl.org/dc/dcmitype/Dataset" property="dct:title" rel="dct:type">Xlit-Crowd: Hindi-English Transliteration Corpus</span> by <span xmlns:cc="http://creativecommons.org/ns#" property="cc:attributionName">Mitesh Khapra</span> is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.
12 | 


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