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8.2. SUMMARY OF THESIS CONTRIBUTIONS a distinct advantage in the simplicity of the translation process. Furthermore, they are more flexible in terms of adding extra languages. We also talked about the challenges of machine translation, with a specific focus on those specific to the Arabic language. In Chapter 5, we presented a high-level view of the system framework and defined our evaluation criteria for measuring system performance. In Chapter 6, we detailed the technical aspects of UniArab, covering all the phases in- volved in the machine translation process. We described the lexical system that underlies UniArab, detailing the attribute information held for each type of word. We discussed the generation phase and how the system maps the logical structure to a target English sentence. We then briefly discussed the user interface, and some of the technical challenges encountered during the implementation. In Chapter 7, we presented the results of our evaluation of UniArab for a wide vari- ety of sentence types. We compared its results to those of the Google and Microsoft translators as well as human translation. We found that it significantly outperforms the other automated translation systems, matching human translation. We discussed its limits in regards to complex sentence structures. 8.2 Summary of thesis contributions This thesis contributions are summarised as follows: • A detailed presentation of the structure of Arabic sentences and a discussion of the language’s unique features. • A detailed system framework for implementing RRG machine translation for Arabic 132
and proving the suitability of the model. 8.3. FUTURE WORK • A detailed technical implementation of an Arabic to English machine translator based on the RRG model, including user interface and a custom designed, extensible data source. • An evaluation of the translation system and comparison to existing commercial systems. • Specifying verb ‘to be’, free word order, pro-drop and transitivity of verbs. 8.3 Future work Given the scope of this Masters research project, there are a number of areas where this work could be extended. Firstly, the question of ambiguity is very interesting. We feel that RRG is suited to overcoming word ambiguity by using sentence structure, and would like to explore this. We would also like to incorporate more compound structures allow- ing UniArab to deal with more complex sentences. We would also like to explore the auto generation of lexicon information from Arabic source verbs as a way to quickly populate the lexical source. The main topic of investigation is the development of a framework for translating Arabic to English based on RRG. The framework is designed to demonstrate the capabilities of RRG as a base for machine translation of Arabic into English using an interlingua bridge strategy. This thesis showed that RRG facilitates the translation process from a specific language to other languages. Future research should focus on: (1) Enhancing and extending the UniArab system to support more natural Arabic sentences, and word ambiguity, in particular: 133
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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
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4.3.2 Direct translation 4.3. BASIC
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4.3. BASIC MACHINE TRANSLATION STRA
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would also be needed for an interli
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4.4.1 Non-Roman alphabet scripts 4.
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Figure 4.5: NP rule (NP -> det n pp
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4.5. CHALLENGES OF ARABIC TO ENGLIS
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Figure 4.7: Direct MT system 4.6.2
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4.7 Summary Figure 4.9: Structure t
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5 Design of Arabic to English machi
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5.2. DESIGNING AN XML LEXICON ARCHI
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5.3. DESIGN OF TEST STRATEGY Table
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5.4. DESIGN OF EVALUATION CRITERIA
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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 and 122: 7.2. SENTENCE TESTS to which standa
Page 123 and 124: Table 7.2: Test : Verb-subject; agr
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: 8.1. THESIS SUMMARY and so we hope
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
Page 173 and 174: Eman saw Sarah. r֓at ֓iymā
Page 175 and 176: Carl is brushing his hair. ym
Page 177 and 178: I want a book. ֓aryd ktāb
Page 179 and 180: Omar gave the book to Khalid.
Page 181 and 182: D Verbs in lexicon Verbs in Arabic
Page 183 and 184: Arabic Example Logical Structure
Page 185 and 186: Arabic Example Logical Structure
Page 187 and 188: Arabic ys. rs. r Example the wheel
Page 189 and 190: Arabic ֓adrs Example I am teach
Page 191 and 192: Package: Name of Class Class Summar
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