A Pattern Matching method for finding Noun and Proper Noun Translations from Noisy Parallel Corpora
cmp-lg
2008-02-03 v1 Computation and Language
Abstract
We present a pattern matching method for compiling a bilingual lexicon of nouns and proper nouns from unaligned, noisy parallel texts of Asian/Indo-European language pairs. Tagging information of one language is used. Word frequency and position information for high and low frequency words are represented in two different vector forms for pattern matching. New anchor point finding and noise elimination techniques are introduced. We obtained a 73.1\% precision. We also show how the results can be used in the compilation of domain-specific noun phrases.
Cite
@article{arxiv.cmp-lg/9505016,
title = {A Pattern Matching method for finding Noun and Proper Noun Translations from Noisy Parallel Corpora},
author = {Pascale Fung},
journal= {arXiv preprint arXiv:cmp-lg/9505016},
year = {2008}
}
Comments
8 pages, uuencoded compressed postscript file. To appear in the Proceedings of the 33rd ACL