@inproceedings{e5be95db717e414a846b13a79641bb73,
title = "Bilingual lexicon extraction using locally weighted linear regression from comparable corpora",
abstract = "Recently a simple linear transformation with word embedding has been found to be highly effective to extract a bilingual lexicon from comparable corpora. However, it is easy to underfit for transforming all the words just using a single transformation matrix. This paper proposes a simple non-parameter based solution using locally weighted linear regression (LWR) which forces that the closer words in the training lexicon with the target word should be more important for estimating the objective function for the regression. The experimental results confirm that the proposed solution can achieve a 36.7\% relative improvement at Top-1 over the baseline approach on the English-to-Chinese bilingual lexicon extraction task.",
keywords = "bilingual lexicon extraction, locally weighted linear regression, transformation matrix, word embedding",
author = "Chunyue Zhang and Tiejun Zhao",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Conference on Asian Language Processing, IALP 2015 ; Conference date: 24-10-2015 Through 25-10-2015",
year = "2016",
month = apr,
day = "12",
doi = "10.1109/IALP.2015.7451520",
language = "英语",
series = "Proceedings of 2015 International Conference on Asian Language Processing, IALP 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "13--16",
editor = "Bin Ma and Min Zhang and Yanfeng Lu and Minghui Dong and Wenliang Chen",
booktitle = "Proceedings of 2015 International Conference on Asian Language Processing, IALP 2015",
address = "美国",
}