@inproceedings{hong-etal-2016-image,
title = "Image-Image Search for Comparable Corpora Construction",
author = "Hong, Yu and
Yao, Liang and
Liu, Mengyi and
Zhang, Tongtao and
Zhou, Wenxuan and
Yao, Jianmin and
Ji, Heng",
editor = "Lambert, Patrik and
Babych, Bogdan and
Eberle, Kurt and
Banchs, Rafael E. and
Rapp, Reinhard and
Costa-juss{\`a}, Marta R.",
booktitle = "Proceedings of the Sixth Workshop on Hybrid Approaches to Translation ({H}y{T}ra6)",
month = dec,
year = "2016",
address = "Osaka, Japan",
publisher = "The COLING 2016 Organizing Committee",
url = "https://aclanthology.org/W16-4503",
pages = "16--25",
abstract = "We present a novel method of comparable corpora construction. Unlike the traditional methods which heavily rely on linguistic features, our method only takes image similarity into consid-eration. We use an image-image search engine to obtain similar images, together with the cap-tions in source language and target language. On the basis, we utilize captions of similar imag-es to construct sentence-level bilingual corpora. Experiments on 10,371 target captions show that our method achieves a precision of 0.85 in the top search results.",
}
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%0 Conference Proceedings
%T Image-Image Search for Comparable Corpora Construction
%A Hong, Yu
%A Yao, Liang
%A Liu, Mengyi
%A Zhang, Tongtao
%A Zhou, Wenxuan
%A Yao, Jianmin
%A Ji, Heng
%Y Lambert, Patrik
%Y Babych, Bogdan
%Y Eberle, Kurt
%Y Banchs, Rafael E.
%Y Rapp, Reinhard
%Y Costa-jussà, Marta R.
%S Proceedings of the Sixth Workshop on Hybrid Approaches to Translation (HyTra6)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F hong-etal-2016-image
%X We present a novel method of comparable corpora construction. Unlike the traditional methods which heavily rely on linguistic features, our method only takes image similarity into consid-eration. We use an image-image search engine to obtain similar images, together with the cap-tions in source language and target language. On the basis, we utilize captions of similar imag-es to construct sentence-level bilingual corpora. Experiments on 10,371 target captions show that our method achieves a precision of 0.85 in the top search results.
%U https://aclanthology.org/W16-4503
%P 16-25
Markdown (Informal)
[Image-Image Search for Comparable Corpora Construction](https://aclanthology.org/W16-4503) (Hong et al., HyTra 2016)
ACL
- Yu Hong, Liang Yao, Mengyi Liu, Tongtao Zhang, Wenxuan Zhou, Jianmin Yao, and Heng Ji. 2016. Image-Image Search for Comparable Corpora Construction. In Proceedings of the Sixth Workshop on Hybrid Approaches to Translation (HyTra6), pages 16–25, Osaka, Japan. The COLING 2016 Organizing Committee.