Computational Approach for Improving Fluency in Bangla NLG - Couverture souple

Das, Sumit; Basu, Anupam; Sarkar, Sudeshna

 
9783659326950: Computational Approach for Improving Fluency in Bangla NLG
Couverture souple
ISBN 10 : 365932695X ISBN 13 : 9783659326950
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

The primary goal of Natural Language Generation (NLG) is to generate complete and fluent natural language text from underlying machine representation of information. The completeness of a text depends on its semantic correctness and quality of being understood. The fluency of a text depends on its grammatical correctness, coherence and naturalness.The fluency of a text generated is as important as its completeness. In NLG, prenominal modifier ordering and syntactic aggregation are two useful methods for improving the generated text fluency. Correct ordering of prenominal modifiers, modifying the same head noun, improves the fluency and naturalness of text. In syntactic aggregation simple text spans are combined by using linguistic rules. Unnecessary repeating words are deleted by this process thereby improving the fluency, coherence and conciseness of the text. In this thesis, we have presented computational approaches for these two problems in Bangla NLG.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The primary goal of Natural Language Generation (NLG) is to generate complete and fluent natural language text from underlying machine representation of information. The completeness of a text depends on its semantic correctness and quality of being understood. The fluency of a text depends on its grammatical correctness, coherence and naturalness.The fluency of a text generated is as important as its completeness. In NLG, prenominal modifier ordering and syntactic aggregation are two useful methods for improving the generated text fluency. Correct ordering of prenominal modifiers, modifying the same head noun, improves the fluency and naturalness of text. In syntactic aggregation simple text spans are combined by using linguistic rules. Unnecessary repeating words are deleted by this process thereby improving the fluency, coherence and conciseness of the text. In this thesis, we have presented computational approaches for these two problems in Bangla NLG.

Biographie de l'auteur

Sumit Das completed his B.E. degree in CSE from Jadavpur University, Kolkata, India in 2006. He did M.S. in CSE from IIT Kharagpur, India in 2011. Currently he is working as a text mining researcher at Abzooba India Infotech Pvt. Ltd., Kolkata, India. His research interests include Text Mining, Natural Language Processing, and Assistive Technology.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
365932695X
ISBN 13 
9783659326950
Reliure
Broché
Nombre de pages
112
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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