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

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

Research output: Contribution to conferencePaperpeer-review

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)
Number of pages5
StatePublished - 2018
EventThe 27th International Conference on Computational Linguistics - Santa Fe, United States
Duration: Aug 20 2018Aug 26 2018

Conference

ConferenceThe 27th International Conference on Computational Linguistics
Abbreviated titleCOLING
CountryUnited States
CitySanta Fe
Period8/20/188/26/18

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