Paper: Sentence Realisation from Bag of Words with Dependency Constraints

ACL ID N09-3004
Title Sentence Realisation from Bag of Words with Dependency Constraints
Venue HLT-NAACL Companion Volume: Student Research Workshop and Doctoral Consortium
Session
Year 2009
Authors

In this paper, we present five models for sentence realisation from a bag-of-words containing mini- mal syntactic information. It has a large variety of applications ranging from Machine Translation to Dialogue systems. Our models employ simple and efficient techniques based on n-gram Language modeling. We evaluated the models by comparing the syn- thesized sentences with reference sentences using the standard BLEU metric(Papineni et al., 2001). We obtained higher results (BLEU score of 0.8156) when compared to the state-of-art results. In fu- ture, we plan to incorporate our sentence realiser in Machine Translation and observe its effect on the translation accuracies.