Prepositional Phrase (PP) attachment is a classical problem in NLP for languages like English, which suffer from structural ambiguity. In this work, we solve this problem with the help of another language free from such ambiguities, using the parse tree of the parallel sentence in the other language, and word alignments. We formulate an optimization framework that encourages agreement between the parse trees for two languages, and solve it using a novel Dual Decomposition (DD) based algorithm. Experiments on the English-Hindi language pair show promising improvements over the baseline.
Automated Analysis of Bangla Poetry for Classification and Poet Identification
Geetanjali Rakshit | Anupam Ghosh | Pushpak Bhattacharyya | Gholamreza Haffari
Proceedings of the 12th International Conference on Natural Language Processing