The Alignment Template Approach to Statistical Machine Translation

  title={The Alignment Template Approach to Statistical Machine Translation},
  author={Franz Josef Och and Hermann Ney},
  journal={Computational Linguistics},
A phrase-based statistical machine translation approach the alignment template approach is described. This translation approach allows for general many-to-many relations between words. Thereby, the context of words is taken into account in the translation model, and local changes in word order from source to target language can be learned explicitly. The model is described using a log-linear modeling approach, which is a generalization of the often used source-channel approach. Thereby, the… CONTINUE READING
Highly Influential
This paper has highly influenced 78 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 1,024 citations. REVIEW CITATIONS
728 Citations
43 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 728 extracted citations

1,024 Citations

Citations per Year
Semantic Scholar estimates that this publication has 1,024 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…