Query lattice for translation retrieval

Meiping Dong, Yong Cheng, Yang Liu, Jia Xu, Maosong Sun, Tatsuya Izuha, Jie Hao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Translation retrieval aims to find the most likely translation among a set of target-language strings for a given source-language string. Previous studies consider the single-best translation as a query for information retrieval, which may result in translation error propagation. To alleviate this problem, we propose to use the query lattice, which is a compact representation of exponentially many queries containing translation alternatives. We verified the effectiveness of query lattice through experiments, where our method explores a much larger search space (from 1 query to 1.24 × 1062 queries), runs much faster (from 0.75 to 0.13 second per sentence), and retrieves more accurately (from 83.76% to 93.16% in precision) than the standard method based on the query single-best. In addition, we show that query lattice significantly outperforms the method of (Munteanu and Marcu, 2005) on the task of parallel sentence mining from comparable corpora.

Original languageEnglish
Title of host publicationCOLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014
Subtitle of host publicationTechnical Papers
Pages2031-2041
Number of pages11
ISBN (Electronic)9781941643266
StatePublished - 2014
Event25th International Conference on Computational Linguistics, COLING 2014 - Dublin, Ireland
Duration: 23 Aug 201429 Aug 2014

Publication series

NameCOLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers

Conference

Conference25th International Conference on Computational Linguistics, COLING 2014
Country/TerritoryIreland
CityDublin
Period23/08/1429/08/14

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