Grammar-based and example-based techniques in machine translation from English to Arabic

In the modern world, there is an increased need for language translation. This paper presents English to Arabic approach for translating well-structured English sentences into well-structured Arabic sentences, using a grammar-based and example-translation techniques to handle the problems of orderin...

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Main Authors:	Alawneh, M., Sembok, Tengku Mohd, Mohd, Masnizah
Format:	Conference or Workshop Item
Language:	English English
Published:	2013
Online Access:	http://irep.iium.edu.my/31173/ http://irep.iium.edu.my/31173/ http://irep.iium.edu.my/31173/1/Table_of_Content.pdf http://irep.iium.edu.my/31173/2/99.pdf

id	iium-31173
recordtype	eprints
spelling	iium-311732015-09-09T01:13:14Z http://irep.iium.edu.my/31173/ Grammar-based and example-based techniques in machine translation from English to Arabic Alawneh, M. Sembok, Tengku Mohd Mohd, Masnizah In the modern world, there is an increased need for language translation. This paper presents English to Arabic approach for translating well-structured English sentences into well-structured Arabic sentences, using a grammar-based and example-translation techniques to handle the problems of ordering and agreement. This technique combines rule-based MT (RBMT) and example-based MT (EBMT) which is called hybrid-based MT (HERBMT). The proposed methodology is flexible and scalable. The main advantages of HERBMT are that it combines the advantages of RBMT and EBMT, and it can be applied to other languages with minor modifications. EBMT extracts an example of target language sentences that are analogous to input source language sentences. The extraction of appropriate translated sentences is preceded by an analysis stage for the decomposition of input sentences into appropriate fragments. RBMT is used when examples of the source language to be translated into the target language are not found in the machine database. The OAK Parser is used to analyze the input English text to get the part of speech (POS) for each word in the text as a pre-translation process. A major design goal of this system is that it will be used as a stand-alone tool, and can be integrated with a general machine translation system for English sentences. The evaluation is carried out on 250 independent test suites, and the analysis indicates that HERBMT achieved good performance with an average of 97.2% precision. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/31173/1/Table_of_Content.pdf application/pdf en http://irep.iium.edu.my/31173/2/99.pdf Alawneh, M. and Sembok, Tengku Mohd and Mohd, Masnizah (2013) Grammar-based and example-based techniques in machine translation from English to Arabic. In: The 4th International Conference on Information & Communication Technology for the Muslim World (ICT4M), 25-27 Mar 2013, Rabat, Moroco. http://ict4m.org/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
description	In the modern world, there is an increased need for language translation. This paper presents English to Arabic approach for translating well-structured English sentences into well-structured Arabic sentences, using a grammar-based and example-translation techniques to handle the problems of ordering and agreement. This technique combines rule-based MT (RBMT) and example-based MT (EBMT) which is called hybrid-based MT (HERBMT). The proposed methodology is flexible and scalable. The main advantages of HERBMT are that it combines the advantages of RBMT and EBMT, and it can be applied to other languages with minor modifications. EBMT extracts an example of target language sentences that are analogous to input source language sentences. The extraction of appropriate translated sentences is preceded by an analysis stage for the decomposition of input sentences into appropriate fragments. RBMT is used when examples of the source language to be translated into the target language are not found in the machine database. The OAK Parser is used to analyze the input English text to get the part of speech (POS) for each word in the text as a pre-translation process. A major design goal of this system is that it will be used as a stand-alone tool, and can be integrated with a general machine translation system for English sentences. The evaluation is carried out on 250 independent test suites, and the analysis indicates that HERBMT achieved good performance with an average of 97.2% precision.
format	Conference or Workshop Item
author	Alawneh, M. Sembok, Tengku Mohd Mohd, Masnizah
spellingShingle	Alawneh, M. Sembok, Tengku Mohd Mohd, Masnizah Grammar-based and example-based techniques in machine translation from English to Arabic
author_facet	Alawneh, M. Sembok, Tengku Mohd Mohd, Masnizah
author_sort	Alawneh, M.
title	Grammar-based and example-based techniques in machine translation from English to Arabic
title_short	Grammar-based and example-based techniques in machine translation from English to Arabic
title_full	Grammar-based and example-based techniques in machine translation from English to Arabic
title_fullStr	Grammar-based and example-based techniques in machine translation from English to Arabic
title_full_unstemmed	Grammar-based and example-based techniques in machine translation from English to Arabic
title_sort	grammar-based and example-based techniques in machine translation from english to arabic
publishDate	2013
url	http://irep.iium.edu.my/31173/ http://irep.iium.edu.my/31173/ http://irep.iium.edu.my/31173/1/Table_of_Content.pdf http://irep.iium.edu.my/31173/2/99.pdf
first_indexed	2023-09-18T20:45:25Z
last_indexed	2023-09-18T20:45:25Z
_version_	1777409641968304128

Grammar-based and example-based techniques in machine translation from English to Arabic

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