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In this paper, we attempt to solve the problem of Prepositional Phrase (PP)attachments in English. The motivation for the work comes from NLP applicationslike Machine Translation, for which, getting the correct attachment ofprepositions is very crucial. The idea is to correct the PP-attachments for asentence with the help of alignments from parallel data in another language.The novelty of our work lies in the formulation of the problem into a dualdecomposition based algorithm that enforces agreement between the parse treesfrom two languages as a constraint. Experiments were performed on theEnglish-Hindi language pair and the performance improved by 10% over thebaseline, where the baseline is the attachment predicted by the MSTParser modeltrained for English.

Prepositional Attachment Disambiguation Using Bilingual Parsing and Alignments