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THERE ARE DIFFERENT SPATIAL CONSTRUALS OF TIME
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In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/ad/f3/Front_Psychol_2012_Apr_10_3_109.tar.gz (2012)
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22 |
Resolving syntactic ambiguities in natural language specification of constraints
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In: http://www.cs.bham.ac.uk/~isb855/papers/CICLING_2012.pdf (2012)
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Speech-Centric Information Processing: An Optimization-Oriented Approach
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In: http://research.microsoft.com/pubs/179540/ProcIEEE_He_deng_finalsub.pdf (2012)
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24 |
• Learner Centeredness and Needs • Portfolio Development for Teachers
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In: http://www.theglobaljournals.com/ijar/file.php?val%3DSeptember_2012_1356963687_f9c75_41.pdf (2012)
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• Learner Centeredness and Needs • Portfolio Development for Teachers
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In: http://www.theglobaljournals.com/ijar/recent_issues_pdf/September_2012_1356963687_f9c75_41.pdf (2012)
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26 |
ANN and Rule Based Method for English to Arabic Machine Translation
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In: http://www.ccis2k.org/iajit/PDF/vol.11,no.4/5308.pdf (2012)
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Abstract:
Abstract: Machine translation is the process by which computer software is used to translate a text from one natural language into another language with or without minimal human intervention. This definition involves accounting for the grammatical structure of each language and using rules and grammars to transfer the grammatical structure of the source language into the target language. This paper presents an English into Arabic Machine Translation (MT) system for translating simple well-structured English sentences into well-structured Arabic sentences using a rule-based approach and feed-forward back-propagation Artificial Neural Network (ANN). Our system is able to translate sentences having gerunds, infinitives, prepositions and prepositional objects, direct objects, indirect objects, etc. Neural network works as bilingual dictionary, which does not only store the meaning of English word in Arabic but it also stores linguistic features attached to the word. The performance is evaluated by different MT evaluation methods. The n-gram blue score achieved by the system is 0.6029, METEOR score achieved is 0.8221 and 0.8386 on F-measure.
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Keyword:
back-propagation; English-Arabic machine translation system; MT; neural network; rule based translation
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URL: http://www.ccis2k.org/iajit/PDF/vol.11,no.4/5308.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.587.9042
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27 |
Association for Academic Language and Learning
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In: http://journal.aall.org.au/index.php/jall/article/viewFile/135/128/ (2012)
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28 |
Authentic Cultural and Linguistic Learning through Practicum in a Nursing Home
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In: http://www.tesl-ej.org/pdf/ej61/a2.pdf (2012)
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29 |
ANDRÁS IMRÉNYI
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In: http://www.uk-cla.org.uk/files/proceedings/Imrenyi.pdf (2012)
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30 |
ANN and Rule Based Method for English to Arabic Machine Translation IAJIT First Online Publication
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31 |
Status: Under Review
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In: http://faculty.som.yale.edu/keithchen/papers/LanguageWorkingPaper.pdf (2012)
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Available Online at www.warse.ijatcse.current Impact of Technology on Teens ’ Written Language
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In: http://warse.org/info/ijatcse02112012.pdf (2012)
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33 |
By
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In: http://www.ling.hawaii.edu/graduate/Dissertations/JinsunChoeFinal.pdf (2012)
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34 |
The Corpus of Academic Learner English (CALE): A new resource for the study of lexico-grammatical variation in advanced learner varieties
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In: http://www.staff.uni-mainz.de/mcallies/papers/Callies%26Zaytseva2011.pdf (2011)
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35 |
Towards the Annotation of Communicative Structure in Corpora
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In: http://meaningtext.net/mtt2011/proceedings/papers/BurgaMilleWanner.pdf (2011)
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36 |
EVALUATION OF INTELLIGIBILITY AND SPEAKER SIMILARITY OF
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In: http://uknowledge.uky.edu/cgi/viewcontent.cgi?article%3D1099%26context%3Dgradschool_theses (2011)
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L1 transfer in article selection for generic reference by Spanish, Turkish and Japanese L2 learners
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In: http://revistas.um.es/ijes/article/download/138701/147991/ (2011)
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Translation Rules and ANN Based Model for English to Urdu Machine Translation
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In: http://www.dcc.ufla.br/infocomp/images/artigos/v10.3/art04.pdf (2011)
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Forensic Voice Comparison using Chinese /iau
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In: http://geoff-morrison.net/documents/Zhang,+Morrison,+Thiruvaran+%282011%29+Forensic+voice+comparison+using+Chinese+-iau-.pdf (2011)
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Voice Recognition using HMM with MFCC for secure ATM”,IJCS Vol.8,Issue 6
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In: http://www.ijcsi.org/papers/IJCSI-8-6-3-297-303.pdf (2011)
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