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
Editor:
Dongyan Zhao
Venue:
COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
152–156
Language:
URL:
https://aclanthology.org/C18-2033
DOI:
Bibkey:
Cite (ACL):
Shehroze Khan, Jihyun Kim, Tarik Zulfikarpasic, Peter Chen, and Nizar Habash. 2018. A Cross-lingual Messenger with Keyword Searchable Phrases for the Travel Domain. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pages 152–156, Santa Fe, New Mexico. Association for Computational Linguistics.
Cite (Informal):
A Cross-lingual Messenger with Keyword Searchable Phrases for the Travel Domain (Khan et al., COLING 2018)
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PDF:
https://preview.aclanthology.org/nschneid-patch-5/C18-2033.pdf