Word Alignment Based on Bilingual Bracketing

In this paper, an improved word alignment based on bilingual bracketing is described. The explored approaches include using Model-1 conditional probability, a boosting strategy for lexicon probabilities based on importance sampling, applying Parts of Speech to discriminate English words and incorporating information of English base noun phrase. The results of the shared task on French-English, Romanian-English and Chinese-English word alignments are presented and discussed.

• Publication year

  2003

• Venue

  ParallelTexts@NAACL-HLT

• Publication date

  2003-05-31

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1118905.1118908
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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