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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.
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About the Author
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.
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Computational Approach for Improving Fluency in Bangla NLG
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 112 pp. Englisch. Seller Inventory # 9783659326950
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Computational Approach for Improving Fluency in Bangla NLG
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ISBN 10: 365932695X
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783659326950
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Computational Approach for Improving Fluency in Bangla NLG
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Das SumitSumit 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. Seller Inventory # 157193295
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Computational Approach for Improving Fluency in Bangla NLG
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Computational Approach for Improving Fluency in Bangla NLG
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 112 pp. Englisch. Seller Inventory # 9783659326950
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Computational Approach for Improving Fluency in Bangla NLG
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Taschenbuch. Condition: Neu. Computational Approach for Improving Fluency in Bangla NLG | Sumit Das (u. a.) | Taschenbuch | 112 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659326950 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 109524814