Synchronous Binarization for Machine Translation

@inproceedings{Zhang2006SynchronousBF,
  title={Synchronous Binarization for Machine Translation},
  author={Hao Zhang and Liang Huang and Daniel Gildea and Kevin Knight},
  booktitle={HLT-NAACL},
  year={2006}
}
Systems based on synchronous grammars and tree transducers promise to improve the quality of statistical machine translation output, but are often very computationally intensive. The complexity is exponential in the size of individual grammar rules due to arbitrary re-orderings between the two languages, and rules extracted from parallel corpora can be quite large. We devise a linear-time algorithm for factoring syntactic re-orderings by binarizing synchronous rules when possible and show that… CONTINUE READING
Highly Influential
This paper has highly influenced 12 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 151 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 111 extracted citations

151 Citations

0102030'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 151 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…