Extending a model for Ontology-Based Arabic-English Machine Transltion: FCIT, Sana'a University 2019 - Couverture souple

Dahan Abdo Ali, Neama Abdulaziz

9786200063809: Extending a model for Ontology-Based Arabic-English Machine Transltion: FCIT, Sana'a University 2019

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ISBN 10 : 620006380X ISBN 13 : 9786200063809

Editeur : Noor Publishing, 2019

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�diteur: Noor Publishing
Date d'�dition: 2019
Langue: anglais
ISBN 10: 620006380X
ISBN 13: 9786200063809
Reliure: Broch�
Nombre de pages: 160
Coordonn�es du fabricant: non disponible
Personne responsable: non disponible

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Extending a model for Ontology-Based Arabic-English Machine Transltion

Neama Abdulaziz Dahan Abdo Ali

Edit� par Noor Publishing Mai 2019, 2019

ISBN 10 : 620006380X ISBN 13 : 9786200063809

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Communication cannot happen effectively without Machine-Translation because they can be found anytime and everywhere. There is a number of research that has developed Machine-Translations and provides somehow precise translations between many languages and the English. However, translation to the Arabic language hasn't been considered to give us a precise translation yet. As a result, there's a necessity to enable the users to get a more corrected translation from and to the Arabic language than many of the previous works. Therefore, the aim of this work is to extend the Judge Method model of Arabic-English machine translation to provide a translation based on ontology and to illustrate its work. To evaluate this model, a sample dataset was established to be used for testing purposes. The used way to evaluate NAN final is the cosine similarity which can be used to evaluate the similarity between two texts after translation or summarization. The angle of similarity of NAN translation with human translation was approximately equals to 10.7 . Accordingly to that, NAN's angles is the smallest, better and corrector than Google's and Bing's. 160 pp. Englisch. N� de r�f. du vendeur 9786200063809

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Extending a model for Ontology-Based Arabic-English Machine Transltion

Neama Abdulaziz Dahan Abdo Ali

Edit� par Noor Publishing, 2019

ISBN 10 : 620006380X ISBN 13 : 9786200063809

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Extending a model for Ontology-Based Arabic-English Machine Transltion

Neama Abdulaziz Dahan Abdo Ali

Edit� par Noor Publishing Mai 2019, 2019

ISBN 10 : 620006380X ISBN 13 : 9786200063809

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Communication cannot happen effectively without Machine-Translation because they can be found anytime and everywhere. There is a number of research that has developed Machine-Translations and provides somehow precise translations between many languages and the English. However, translation to the Arabic language hasn't been considered to give us a precise translation yet. As a result, there's a necessity to enable the users to get a more corrected translation from and to the Arabic language than many of the previous works. Therefore, the aim of this work is to extend the Judge Method model of Arabic-English machine translation to provide a translation based on ontology and to illustrate its work. To evaluate this model, a sample dataset was established to be used for testing purposes. The used way to evaluate NAN final is the cosine similarity which can be used to evaluate the similarity between two texts after translation or summarization. The angle of similarity of NAN translation with human translation was approximately equals to 10.7�. Accordingly to that, NAN's angles is the smallest, better and corrector than Google's and Bing's.Books on Demand GmbH, �berseering 33, 22297 Hamburg 160 pp. Englisch. N� de r�f. du vendeur 9786200063809

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Extending a model for Ontology-Based Arabic-English Machine Transltion : FCIT, Sana'a University 2019

Neama Abdulaziz Dahan Abdo Ali

Edit� par Noor Publishing, 2019

ISBN 10 : 620006380X ISBN 13 : 9786200063809

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impression � la demande

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Communication cannot happen effectively without Machine-Translation because they can be found anytime and everywhere. There is a number of research that has developed Machine-Translations and provides somehow precise translations between many languages and the English. However, translation to the Arabic language hasn't been considered to give us a precise translation yet. As a result, there's a necessity to enable the users to get a more corrected translation from and to the Arabic language than many of the previous works. Therefore, the aim of this work is to extend the Judge Method model of Arabic-English machine translation to provide a translation based on ontology and to illustrate its work. To evaluate this model, a sample dataset was established to be used for testing purposes. The used way to evaluate NAN final is the cosine similarity which can be used to evaluate the similarity between two texts after translation or summarization. The angle of similarity of NAN translation with human translation was approximately equals to 10.7 . Accordingly to that, NAN's angles is the smallest, better and corrector than Google's and Bing's. N� de r�f. du vendeur 9786200063809

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