@InProceedings{khan-EtAl:2018:C18-2,
  author    = {Khan, Shehroze  and  Kim, Jihyun  and  Zulfikarpasic, Tarik  and  Chen, Peter  and  Habash, Nizar},
  title     = {A Cross-lingual Messenger with Keyword Searchable Phrases for the Travel Domain},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico},
  publisher = {Association for Computational Linguistics},
  pages     = {152--156},
  abstract  = {We present Qutr (Query Translator), a smart cross-lingual communication application for the travel domain. Qutr is a real-time messaging app that automatically translates conversations while supporting keyword-to-sentence matching. Qutr relies on querying a database that holds commonly used pre-translated travel-domain phrases and phrase templates in different languages with the use of keywords. The query matching supports paraphrases, incomplete keywords and some input spelling errors. The application addresses common cross-lingual communication issues such as translation accuracy, speed, privacy, and personalization.},
  url       = {http://www.aclweb.org/anthology/C18-2033}
}