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

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


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.
Anthology ID:
C18-2033
Volume:
Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico
Venue:
COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
152–156
Language:
URL:
https://www.aclweb.org/anthology/C18-2033
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/C18-2033.pdf