Joint bilingual name tagging for parallel corpora

  title={Joint bilingual name tagging for parallel corpora},
  author={Qi Li and Haibo Li and Heng Ji and Wen Wang and Jing Zheng and Fei Huang},
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-lingual features propagated between two languages. The second approach is based on a joint CRFs model to jointly decode sentence pairs, incorporating… CONTINUE READING
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A machine learning for language toolkit

  • A. K. McCallum. Mallet
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