1. Imam Mohammad Ibn Saud Islamic
University
College of Computing and
Information Science
Computer sciences Department
Supervise by :
Dr.Amal AL-Saif.
Prepared by:
Arwa AL-Rumaih
Alaa Al-Qahtani
Somayah Al-Ghzzi

2. Outline :
1. Introduction.
2. Arabic language characteristics in translation.
3. Methodology:
3.1 Translation of verb phrases using rule-
based approach.
3.2 Translation of noun phrases using
transfer-based approach.
3.3 UniArab: RRG Arabic-to-English
machine translation software.
3.4 Example-based translation system.
4. Result and comparison.
5. Questions from the audience.

3. 1. Introduction

4. Outline :
1. Introduction.
2. Arabic language characteristics in translation.
3. Methodology:
3.1 Translation of verb phrases using rule-
based approach.
3.2 Translation of noun phrases using
transfer-based approach.
3.3 UniArab: RRG Arabic-to-English
machine translation software.
3.4 Example-based translation system.
4. Result and comparison.
5. Questions from the audience.

5. 2. Arabic characteristics in
translation:
• Lexical characteristics :
1.Non – vocalization .
2. Multiple meaning.
• Grammar and syntax characteristics :
1.Word order .
2.Gender and reference.
3.The definition of article.
4. Conjunctions.

6. Outline :
1. Introduction.
2. Arabic language characteristics in translation.
3. Methodology:
3.1 Translation of verb phrases using rule-
based approach.
3.2 Translation of noun phrases using
transfer-based approach.
3.3 UniArab: RRG Arabic-to-English
machine translation software.
3.4 Example-based translation system.
4. Result and comparison.
5. Questions from the audience.

7. 3.1 Translation of verb phrases using rule-
based approach.

8. Outline :
1. Introduction.
2. Arabic language characteristics in translation.
3. Methodology:
3.1 Translation of verb phrases using rule-
based approach.
3.2 Translation of noun phrases using
transfer-based approach.
3.3 UniArab: RRG Arabic-to-English
machine translation software.
3.4 Example-based translation system.
4. Result and comparison.
5. Questions from the audience.

9. 3.2 Translation of noun phrases using
transfer-based approach.

10. Outline :
1. Introduction.
2. Arabic language characteristics in translation.
3. Methodology:
3.1 Translation of verb phrases using rule-
based approach.
3.2 Translation of noun phrases using
transfer-based approach.
3.3 UniArab: RRG Arabic-to-English
machine translation software.
3.4 Example-based translation system.
4. Result and comparison.
5. Questions from the audience.

11. 3.3 UniArab: RRG Arabic-to-English
machine translation software.

12. Outline :
1. Introduction.
2. Arabic language characteristics in translation.
3. Methodology:
3.1 Translation of verb phrases using rule-
based approach.
3.2 Translation of noun phrases using
transfer-based approach.
3.3 UniArab: RRG Arabic-to-English
machine translation software.
3.4 Example-based translation system.
4. Result and comparison.
5. Questions from the audience.

13. 3.4 Example-Based translation
system

14. In matching phase use match score values that
extracted by a function :

15. Summarization of words matching level

16. Outline :
1. Introduction.
2. Arabic language characteristics in translation.
3. Methodology:
3.1 Translation of verb phrases using rule-
based approach.
3.2 Translation of noun phrases using
transfer-based approach.
3.3 UniArab: RRG Arabic-to-English
machine translation software.
3.4 Machine translation of Arabic verb
sentences into English.
4. Result and comparison.
5. Questions from the audience.

17. 4. Result and comparison
 In Arabic to English MT of verb phrases:

18.  Arabic to English MT of noun phrases:

19.  Arabic to English MT ‘UniArab’:

20.  An example-based Arabic to English MT:

21. Outline :
1. Introduction.
2. Arabic language characteristics in translation.
3. Methodology:
3.1 Translation of verb phrases using rule-
based approach.
3.2 Translation of noun phrases using
transfer-based approach.
3.3 UniArab: RRG Arabic-to-English
machine translation software.
4.4 Machine translation of Arabic verb
sentences into English.
4. Result and comparison.
5. Questions from the audience.

22. 5. Questions from the
audience .