@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://preview.aclanthology.org/fix-sig-urls/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)."
}