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7.2.1 Verb-Subject with one argument in different tenses Table 7.1: Test : Verb-Subject; one argument Arabic yˇsrb ֒mr āllbn Human Omar is drinking the milk. Google Omar drink milk Microsoft drink milk Omar UniArab Omar is drinking the milk . 7.2. SENTENCE TESTS In Table 7.1, the output of the Google translator (Google 2009) is faulty in tense and verb ‘to be’. Microsoft’s MT (Microsoft 2009) failed to translate most of the sentence in tense, verb and word order. UniArab successfully translates the sentence in its entirety. Figure 7.1 shows this sentence output in the UniArab system. Figure 7.1: Verb-Subject with one argument 102
Table 7.2: Test : Verb-subject; agreement 1 Arabic ˇsrb ֒mr āllbn Human Omar drank the milk Google Omar drinking milk Microsoft drinking milk Omar UniArab Omar drank the milk. 7.2. SENTENCE TESTS In Table 7.2, the output of the Google translator is faulty in tense and definition. The Microsoft translator failed to translate most of the sentence in tense, definition and word order. UniArab successfully translates the sentence in its entirety. Figure 7.2 shows this sentence output in the UniArab system. Figure 7.2: Verb-Subject with one argument 103
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A generic framework for Arabic to E
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sentence and its linking algorithm
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Declaration I herby certify that th
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advices, but also academically and
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CONTENTS 2.3.1.2 Indefinite nouns .
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CONTENTS 4.4.1 Non-Roman alphabet s
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CONTENTS 7.2.8 Limitation of UniAra
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LIST OF FIGURES 4.4 Difference betw
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List of Tables 2.1 Dual: merely add
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LIST OF TABLES 5.9 Test strategy: p
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1 Introduction The following paragr
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high-quality translation technology
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1.3. TECHNOLOGIES ditransitive). Th
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1.4. THESIS ORGANIZATION 2009b). Ch
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2.1. CHARACTERISTICS OF THE ARABIC
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2.2 Characteristics of Arabic words
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2.2. CHARACTERISTICS OF ARABIC WORD
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2.3. PART OF SPEECH INVENTORY OF TH
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2.3.4 Verbs 2.3. PART OF SPEECH INV
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2.3.4.2 Aspect 2.3. PART OF SPEECH
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2.3. PART OF SPEECH INVENTORY OF TH
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2.4.1.1 Verb and noun 2.4. SENTENCE
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Table 2.27: verb(V), subject(S) and
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3 Role and Reference Grammar (RRG)
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3.1. ROLE AND REFERENCE GRAMMAR LIN
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3.2. FORMAL REPRESENTATION OF LAYER
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3.3. NOUN PHRASE STRUCTURE appropri
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3.4. LEXICAL REPRESENTATIONS FOR VE
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3.5. WHY WE USE RRG AS THE LINGUIST
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3.5. WHY WE USE RRG AS THE LINGUIST
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3.6. SUMMARY there will be more com
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4.1. ADVANTAGES OF MACHINE TRANSLAT
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4.2.3 Lexical databases 4.2. COMPUT
Page 71 and 72: 4.3.2 Direct translation 4.3. BASIC
Page 73 and 74: 4.3. BASIC MACHINE TRANSLATION STRA
Page 75 and 76: would also be needed for an interli
Page 77 and 78: 4.4.1 Non-Roman alphabet scripts 4.
Page 79 and 80: Figure 4.5: NP rule (NP -> det n pp
Page 81 and 82: 4.5. CHALLENGES OF ARABIC TO ENGLIS
Page 83 and 84: Figure 4.7: Direct MT system 4.6.2
Page 85 and 86: 4.7 Summary Figure 4.9: Structure t
Page 87 and 88: 5 Design of Arabic to English machi
Page 89 and 90: 5.2. DESIGNING AN XML LEXICON ARCHI
Page 95 and 96: 5.3. DESIGN OF TEST STRATEGY Table
Page 97 and 98: 5.4. DESIGN OF EVALUATION CRITERIA
Page 99 and 100: 6 UniArab: a proof-of-concept Arabi
Page 101 and 102: 6.1. CONCEPTUAL STRUCTURE OF THE UN
Page 107 and 108: 6.2. UNIARAB: LEXICAL REPRESENTATIO
Page 113 and 114: 6.3. UNIARAB: GENERATION which mean
Page 115 and 116: Figure 6.11: UniArab’s GUI 1 6.4.
Page 117 and 118: 6.4.1 Lexicon interface Figure 6.13
Page 119 and 120: 6.6 Summary 6.6. SUMMARY We present
Page 121: 7.2. SENTENCE TESTS to which standa
Page 125 and 126: Figure 7.4: Verb-subject agreement
Page 127 and 128: Table 7.5: Test : gender-ambiguous
Page 129 and 130: Table 7.7: Test : Verb ‘to be’
Page 131 and 132: Table 7.9: Test : Verb ‘to have
Page 133 and 134: 7.2. SENTENCE TESTS Table 7.11: Tes
Page 135 and 136: 7.2.6 Pro-drop Arabic Table 7.13: T
Page 137 and 138: Table 7.15: Test : Intransitive 2 A
Page 139 and 140: 7.2.7.3 Ditransitive Table 7.17: Te
Page 141 and 142: Table 7.19: Test : Ditransitive wit
Page 143 and 144: 7.2. SENTENCE TESTS In a case where
Page 145 and 146: 7.3 System evaluation 7.3. SYSTEM E
Page 147 and 148: 7.3. SYSTEM EVALUATION search engin
Page 149 and 150: Now is not the end. It is not the b
Page 151 and 152: 8.1. THESIS SUMMARY and so we hope
Page 153 and 154: and proving the suitability of the
Page 155 and 156: References Abn-Aqeal, 2007. sharah
Page 157 and 158: REFERENCES Salem, Y., Hensman, A.,
Page 159 and 160: Appendix 139
Page 161 and 162: • Yasser Salem and Brian Nolan. 2
Page 163 and 164: Arabic Letter and Phonetic Value Le
Page 165 and 166: C List of translatable sentences I
Page 167 and 168: she is an engineer. Zaid loves Fati
Page 169 and 170: Jack is eating with the spoon.
Page 171 and 172: Ayah tore the page. ֓āyh
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Eman saw Sarah. r֓at ֓iymā
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Carl is brushing his hair. ym
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I want a book. ֓aryd ktāb
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Omar gave the book to Khalid.
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D Verbs in lexicon Verbs in Arabic
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Arabic Example Logical Structure
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Arabic Example Logical Structure
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Arabic ys. rs. r Example the wheel
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Arabic ֓adrs Example I am teach
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Package: Name of Class Class Summar
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