@inproceedings{schwartz-etal-2003-disambiguation,
    title = "Disambiguation of {E}nglish {PP} attachment using multilingual aligned data",
    author = "Schwartz, Lee  and
      Aikawa, Takako  and
      Quirk, Chris",
    booktitle = "Proceedings of Machine Translation Summit IX: Papers",
    month = sep # " 23-27",
    year = "2003",
    address = "New Orleans, USA",
    url = "https://preview.aclanthology.org/landing_page/2003.mtsummit-papers.44/",
    abstract = "Prepositional phrase attachment (PP attachment) is a major source of ambiguity in English. It poses a substantial challenge to Machine Translation (MT) between English and languages that are not characterized by PP attachment ambiguity. In this paper we present an unsupervised, bilingual, corpus-based approach to the resolution of English PP attachment ambiguity. As data we use aligned linguistic representations of the English and Japanese sentences from a large parallel corpus of technical texts. The premise of our approach is that with large aligned, parsed, bilingual (or multilingual) corpora, languages can learn non-trivial linguistic information from one another with high accuracy. We contend that our approach can be extended to linguistic phenomena other than PP attachment."
}