TY - GEN
T1 - Query lattice for translation retrieval
AU - Dong, Meiping
AU - Cheng, Yong
AU - Liu, Yang
AU - Xu, Jia
AU - Sun, Maosong
AU - Izuha, Tatsuya
AU - Hao, Jie
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84959879652&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:84959879652
T3 - COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers
SP - 2031
EP - 2041
BT - COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014
T2 - 25th International Conference on Computational Linguistics, COLING 2014
Y2 - 23 August 2014 through 29 August 2014
ER -