Joint bilingual name tagging for parallel corpora

CIKM, pp. 1727-1731, 2012.

Cited by: 46|Bibtex|Views17|DOI:https://doi.org/10.1145/2396761.2398506
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Traditional isolated monolingual name taggers tend to yield inconsistent results across two languages. In this paper, we propose two novel approaches to jointly and consistently extract names from parallel corpora. The first approach uses standard linear-chain Conditional Random Fields (CRFs) as the learning framework, incorporating cross...More

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