When Transliteration Met Crowdsourcing : An Empirical Study of Transliteration via Crowdsourcing using Efficient, Non-redundant and Fair Quality Control

@inproceedings{Khapra2014WhenTM,
  title={When Transliteration Met Crowdsourcing : An Empirical Study of Transliteration via Crowdsourcing using Efficient, Non-redundant and Fair Quality Control},
  author={Mitesh M. Khapra and Ananthakrishnan Ramanathan and Anoop Kunchukuttan and Karthik Visweswariah and Pushpak Bhattacharyya},
  booktitle={LREC},
  year={2014}
}
Sufficient parallel transliteration pairs are needed for training state of the art transliteration engines. Given the cost involved, it is often infeasible to collect such data using experts. Crowdsourcing could be a cheaper alternative, provided that a good quality control (QC) mechanism can be devised for this task. Most QC mechanisms employed in crowdsourcing are aggressive (unfair to workers) and expensive (unfair to requesters). In contrast, we propose a low-cost QC mechanism which is fair… CONTINUE READING

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