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3.3 Noun phrase structure Figure 3.7: Arabic LSC 3.3. NOUN PHRASE STRUCTURE Noun phrases refer, while clauses predicate, and yet there are striking parallels between the structure of the two which have long been noted. For example, both can be said to have arguments; while this is obvious in the case of verbs in clauses, it is also clear that relational nouns like father, friend and sister can take what could be analyzed as arguments, e.g. father of James / James’s father, a friend of Khalid / Khalid’s friend and the other sister of Sarah / Sarah’s other sister. Clauses sometimes have clauses within them as arguments, as in Zaid believed that pollution isn’t a problem, and the same is true of NPs, e.g. Zaid’s belief that pollution isn’t a problem. Given these parallels, it would be 36
3.3. NOUN PHRASE STRUCTURE appropriate to say that at least some nouns take arguments analogous to verbs taking arguments, and therefore it is also appropriate to posit a layered structure for NPs (LSNP) similar but not identical to that for clauses. Relating to the fundamental functional difference between verbs and nouns, is that the nominal nucleus NUCN dominates a REF (for ‘reference’) node, indicating that the unit in question refers, in contrast to the PRED (for ‘predicate’) node which appears in the nucleus of a clause. The word ‘of’ is non- predicative in this construction, because it does not license the argument; moreover, it is semantically empty, as it can occur with argument NPs having many different semantic functions (Van Valin and LaPolla 1997). Consider the range of semantic functions which the of-NPs have in the following examples. (2.2) a. the attack of the killer bees Agent b. the gift of a new car Theme c. the destruction of the city Patient d. the leg of the table Possessor e. the resupplying of the troops (with ammunition) Recipient (Nunes 1993) shows that NPs have only a single direct core argument, and it is marked by of. This is consistent with the point made above that of does not mark any particular semantic relation, in much the same way that the direct grammatical functions, subject and direct object, are not restricted to particular semantic functions. Accordingly, the of- marked NP counts as the single direct syntactic argument of the nominal nucleus in the core of the NP. Predicative adpositions, by contrast, have well-defined semantic content, like other predicates. 37
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A generic framework for Arabic to E
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sentence and its linking algorithm
Page 5 and 6: Declaration I herby certify that th
Page 7 and 8: advices, but also academically and
Page 9 and 10: CONTENTS 2.3.1.2 Indefinite nouns .
Page 11 and 12: CONTENTS 4.4.1 Non-Roman alphabet s
Page 13 and 14: CONTENTS 7.2.8 Limitation of UniAra
Page 15 and 16: LIST OF FIGURES 4.4 Difference betw
Page 17 and 18: List of Tables 2.1 Dual: merely add
Page 19 and 20: LIST OF TABLES 5.9 Test strategy: p
Page 21 and 22: 1 Introduction The following paragr
Page 23 and 24: high-quality translation technology
Page 25 and 26: 1.3. TECHNOLOGIES ditransitive). Th
Page 27 and 28: 1.4. THESIS ORGANIZATION 2009b). Ch
Page 29 and 30: 2.1. CHARACTERISTICS OF THE ARABIC
Page 31 and 32: 2.2 Characteristics of Arabic words
Page 33 and 34: 2.2. CHARACTERISTICS OF ARABIC WORD
Page 35 and 36: 2.3. PART OF SPEECH INVENTORY OF TH
Page 37 and 38: 2.3.4 Verbs 2.3. PART OF SPEECH INV
Page 39 and 40: 2.3.4.2 Aspect 2.3. PART OF SPEECH
Page 41 and 42: 2.3. PART OF SPEECH INVENTORY OF TH
Page 43 and 44: 2.4.1.1 Verb and noun 2.4. SENTENCE
Page 45 and 46: Table 2.27: verb(V), subject(S) and
Page 47 and 48: 3 Role and Reference Grammar (RRG)
Page 49 and 50: 3.1. ROLE AND REFERENCE GRAMMAR LIN
Page 51 and 52: 3.2. FORMAL REPRESENTATION OF LAYER
Page 53 and 54: 3.2. FORMAL REPRESENTATION OF LAYER
Page 55: 3.2. FORMAL REPRESENTATION OF LAYER
Page 59 and 60: 3.4. LEXICAL REPRESENTATIONS FOR VE
Page 61 and 62: 3.5. WHY WE USE RRG AS THE LINGUIST
Page 63 and 64: 3.5. WHY WE USE RRG AS THE LINGUIST
Page 65 and 66: 3.6. SUMMARY there will be more com
Page 67 and 68: 4.1. ADVANTAGES OF MACHINE TRANSLAT
Page 69 and 70: 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
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6.2. UNIARAB: LEXICAL REPRESENTATIO
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6.3. UNIARAB: GENERATION which mean
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Figure 6.11: UniArab’s GUI 1 6.4.
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6.4.1 Lexicon interface Figure 6.13
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6.6 Summary 6.6. SUMMARY We present
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7.2. SENTENCE TESTS to which standa
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Table 7.2: Test : Verb-subject; agr
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Figure 7.4: Verb-subject agreement
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Table 7.5: Test : gender-ambiguous
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Table 7.7: Test : Verb ‘to be’
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Table 7.9: Test : Verb ‘to have
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7.2. SENTENCE TESTS Table 7.11: Tes
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7.2.6 Pro-drop Arabic Table 7.13: T
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Table 7.15: Test : Intransitive 2 A
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7.2.7.3 Ditransitive Table 7.17: Te
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Table 7.19: Test : Ditransitive wit
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7.2. SENTENCE TESTS In a case where
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7.3 System evaluation 7.3. SYSTEM E
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7.3. SYSTEM EVALUATION search engin
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Now is not the end. It is not the b
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8.1. THESIS SUMMARY and so we hope
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and proving the suitability of the
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References Abn-Aqeal, 2007. sharah
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REFERENCES Salem, Y., Hensman, A.,
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Appendix 139
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• Yasser Salem and Brian Nolan. 2
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Arabic Letter and Phonetic Value Le
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C List of translatable sentences I
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she is an engineer. Zaid loves Fati
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Jack is eating with the spoon.
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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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