@InProceedings{grundkiewicz-heafield:2018:NEWS2018,
  author    = {Grundkiewicz, Roman  and  Heafield, Kenneth},
  title     = {Neural Machine Translation Techniques for Named Entity Transliteration},
  booktitle = {Proceedings of the Seventh Named Entities Workshop},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {89--94},
  abstract  = {Transliterating named entities from one language into another can be approached as neural machine translation (NMT) problem, for which we use deep attentional RNN encoder-decoder models. To build a strong transliteration system, we apply well-established techniques from NMT, such as dropout regularization, model ensembling, rescoring with right-to-left models, and back-translation. Our submission to the NEWS 2018 Shared Task on Named Entity Transliteration ranked first in several tracks.},
  url       = {http://www.aclweb.org/anthology/W18-2413}
}