Learning an English-Chinese lexicon from a parallel corpus (1994)
| Venue: | In Proceedings of the First Conference of the Association for Machine Translation in the Americas |
| Citations: | 27 - 4 self |
BibTeX
@INPROCEEDINGS{Wu94learningan,
author = {Dekai Wu and Xuanyin Xia},
title = {Learning an English-Chinese lexicon from a parallel corpus},
booktitle = {In Proceedings of the First Conference of the Association for Machine Translation in the Americas},
year = {1994},
pages = {206--213}
}
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Abstract
We report experiments on automatic learning of an English-Chinese translation lexicon, through statistical training on a large parallel corpus. The learned vocabulary size is nontrivial at 6,517 English words averaging 2.33 Chinese translations per entry, with a manuallyfiltered precision of 95.1 % and a single-most-probable precision of 91.2%. We then introduce a significance filtering method that is fully automatic, yet still yields a weighted precision of 86.0%. Learning of translations is adaptive to the domain. To our knowledge, these are the first empirical results of the kind between an Indo-European and non-Indo-European language for any significant corpus size with a non-toy vocabulary. 1
