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.
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Das, S., Basu, A., Sarkar, S. (2011). Prenominal Modifier Ordering in Bengali Text Generation. In: Gelbukh, A.F. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2011. Lecture Notes in Computer Science, vol 6608. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19400-9_35
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DOI: https://doi.org/10.1007/978-3-642-19400-9_35
Publisher Name: Springer, Berlin, Heidelberg
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