A Cross-lingual Messenger with Keyword Searchable Phrases for the Travel Domain

Shehroze Khan, Jihyun Kim, Tarik Zulfikarpasic, Peter Chen, Nizar Habash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationCOLING 2018 - 27th International Conference on Computational Linguistics, Proceedings of System Demonstrations
PublisherAssociation for Computational Linguistics (ACL)
Pages152-156
Number of pages5
ISBN (Electronic)9781948087537
StatePublished - 2018
Event27th International Conference on Computational Linguistics, COLING 2018 - Santa Fe, United States
Duration: Aug 20 2018Aug 26 2018

Publication series

NameCOLING 2018 - 27th International Conference on Computational Linguistics, Proceedings of System Demonstrations

Conference

Conference27th International Conference on Computational Linguistics, COLING 2018
Country/TerritoryUnited States
CitySanta Fe
Period8/20/188/26/18

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Language and Linguistics
  • Linguistics and Language

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