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1
Challenges in Using an Example-Based MT System for a Transnational Digital Government Project
In: http://www.cs.cmu.edu/~violetta/EAMT2004_FINAL.pdf (2004)
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2
Developing Language Resources for a Transnational Digital Government System
In: http://www.lrec-conf.org/proceedings/lrec2004/pdf/713.pdf (2004)
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3
Developing Language Resources for Transnational Digital Government Systems
In: http://www.cs.cmu.edu/~violetta/LREC2004_FINAL.pdf (2004)
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4
A Computational Lexeme-Based Treatment of Arabic Morphology
In: http://www.elsnet.org/arabic2001/cavalli.pdf (2001)
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5
Challenges in Adapting an Interlingua for Bidirectional English-Italian Translation
In: http://www.lti.cs.cmu.edu/Research/Kant/PostScript/amta2000_italian.ps (2000)
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6
Arabic morphology generation using a concatenative strategy
In: http://libra.sfsu.edu/~vcs/NAACL_2000.pdf (2000)
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7
Arabic Morphology Generation Using a Concatenative Strategy
In: http://www.mt.cs.cmu.edu/Research/Kant/PDF/naacl_arabic.pdf (2000)
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8
Arabic Morphology Generation Using a Concatenative Strategy
In: http://acl.ldc.upenn.edu/A/A00/A00-2012.pdf (2000)
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9
Arabic Morphology Generation Using a Concatenative Strategy
In: http://www.mt.cs.cmu.edu/Research/Kant/PostScript/naacl_arabic.ps (2000)
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10
The Arabic Noun System Generation 1
In: http://libra.sfsu.edu/~vcs/Manouba_2002.pdf
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11
IMORPHĒ: An Inheritance and Equivalence Based Morphology Description Compiler
In: http://www.cs.brandeis.edu/~marc/misc/proceedings/lrec-2006/pdf/409_pdf.pdf
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12
Challenges in Adapting an Interlingua for Bidirectional English-Italian Translation
In: http://www.cs.cmu.edu/~violetta/AMTA_2000.pdf
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13
IMORPHĒ: An Inheritance and Equivalence Based Morphology Description Compiler
In: http://www.cs.cmu.edu/~violetta/LREC2006.pdf
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14
Extensions to a Histogram-Based Student Modeling Approach to Facilitate Reading in Morphologically Complex Languages
In: http://papers.ldc.upenn.edu/AIED/StudentModelingApproach.pdf
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15
Published In
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16
Extensions to a Histogram-Based Student Modeling Approach to Facilitate Reading in Morphologically Complex Languages
In: http://www.cs.cmu.edu/~violetta/AIED2005_SMforLT_paper.pdf
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17
Developing ARET: An NLP-based Educational Tool Set for Arabic Reading Enhancement
In: http://aclweb.org/anthology-new/W/W12/W12-2015.pdf
Abstract: This paper describes a novel Arabic Reading Enhancement Tool (ARET) for classroom use, which has been built using corpus-based Natural Language Processing in combination with expert linguistic annotation. The NLP techniques include a widely used morphological analyzer for Modern Standard Arabic to provide word-level grammatical details, and a relational database index of corpus texts to provide word concordances. ARET also makes use of a commercial Arabic text-to-speech (TTS) system to add a speech layer (with male and female voices) to the Al-Kitaab language textbook resources. The system generates test questions and distractors, offering teachers and students an interesting computer-aided language learning tool. We describe the background and the motivation behind the building of ARET, presenting the various components and the method used to build the tools. 1
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.306.8547
http://aclweb.org/anthology-new/W/W12/W12-2015.pdf
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18
Developing ARET: An NLP-based Educational Tool Set for Arabic Reading Enhancement
In: http://papers.ldc.upenn.edu/NAACL2012/DevelopingARET.pdf
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19
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20
Arabic Morphology Generation Using a Concatenative Strategy
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