@inproceedings{ding-etal-2003-algorithm,
title = "An algorithm for word-level alignment of parallel dependency trees",
author = "Ding, Yuan and
Gildea, Daniel and
Palmer, Martha",
booktitle = "Proceedings of Machine Translation Summit IX: Papers",
month = sep # " 23-27",
year = "2003",
address = "New Orleans, USA",
url = "https://aclanthology.org/2003.mtsummit-papers.13",
abstract = "Structural divergence presents a challenge to the use of syntax in statistical machine translation. We address this problem with a new algorithm for alignment of loosely matched non-isomorphic dependency trees. The algorithm selectively relaxes the constraints of the two tree structures while keeping computational complexity polynomial in the length of the sentences. Experimentation with a large Chinese-English corpus shows an improvement in alignment results over the unstructured models of (Brown et al., 1993).",
}
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%0 Conference Proceedings
%T An algorithm for word-level alignment of parallel dependency trees
%A Ding, Yuan
%A Gildea, Daniel
%A Palmer, Martha
%S Proceedings of Machine Translation Summit IX: Papers
%D 2003
%8 sep 23 27
%C New Orleans, USA
%F ding-etal-2003-algorithm
%X Structural divergence presents a challenge to the use of syntax in statistical machine translation. We address this problem with a new algorithm for alignment of loosely matched non-isomorphic dependency trees. The algorithm selectively relaxes the constraints of the two tree structures while keeping computational complexity polynomial in the length of the sentences. Experimentation with a large Chinese-English corpus shows an improvement in alignment results over the unstructured models of (Brown et al., 1993).
%U https://aclanthology.org/2003.mtsummit-papers.13
Markdown (Informal)
[An algorithm for word-level alignment of parallel dependency trees](https://aclanthology.org/2003.mtsummit-papers.13) (Ding et al., MTSummit 2003)
ACL