Constraint Optimization Approach to Context Based Word Selection
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1846-1850.
Abstract
Consistent word selection in machine translation is currently realized by resolving word sense ambiguity through the context of a single sentence or neighboring sentences. However, consistent word selection over the whole article has yet to be achieved. Consistency over the whole article is extremely important when applying machine translation to collectively developed documents like Wikipedia. In this paper, we propose to consider constraints between words in the whole article based on their semantic relatedness and contextual distance. The proposed method is successfully implemented in both statistical and rule-based translators. We evaluate those systems by translating 100 articles in the English Wikipedia into Japanese. The results show that the ratio of appropriate word selection for common nouns increased to around 75% with our method, while it was around 55% without our method.
@inproceedings{ijcai2011p309,
title = {Constraint Optimization Approach to Context Based Word Selection},
author = {Matsuno, Jun and Ishida, Toru},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {1846--1850},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-309},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-309},
}
TY - CPAPER TI - Constraint Optimization Approach to Context Based Word Selection AU - Matsuno, Jun AU - Ishida, Toru T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 1846 EP - 1850 DO - 10.5591/978-1-57735-516-8/IJCAI11-309 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-309 ER -Copied
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