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    <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.</abstract>
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%0 Conference Proceedings
%T Disambiguation of English PP attachment using multilingual aligned data
%A Schwartz, Lee
%A Aikawa, Takako
%A Quirk, Chris
%S Proceedings of Machine Translation Summit IX: Papers
%D 2003
%8 sep 23 27
%C New Orleans, USA
%F schwartz-etal-2003-disambiguation
%X 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.
%U https://aclanthology.org/2003.mtsummit-papers.44

Markdown (Informal)

[Disambiguation of English PP attachment using multilingual aligned data](https://aclanthology.org/2003.mtsummit-papers.44) (Schwartz et al., MTSummit 2003)

• Disambiguation of English PP attachment using multilingual aligned data (Schwartz et al., MTSummit 2003)

ACL

• Lee Schwartz, Takako Aikawa, and Chris Quirk. 2003. Disambiguation of English PP attachment using multilingual aligned data. In Proceedings of Machine Translation Summit IX: Papers, New Orleans, USA.