Prenominal modifier ordering in bengali text generation

Authors:
Sumit Das;Anupam Basu;Sudeshna Sarkar
Affiliations:
Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India;Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India;Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India
Venue:
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Year:
2011

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Abstract

In this paper, we propose a machine learning based approach for ordering adjectival premodifiers of a noun phrase (NP) in Bengali. We propose a novel method to learn the pairwise orders of the modifiers. Using the learned pairwise orders, longer sequences of pronominal modifiers are ordered following a graph based method. The proposed modifier ordering approach is compared with an existing approach using our own dataset. We have achieved approximately 4% increment in the F-measure with our approach indicating an overall improvement. The modifier ordering approach proposed here can be implemented in a Bengali text generation system resulting in more fluent and natural output.