arabic to-english machine translation

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-RumaihAlaa Al-Qahtani Somayah Al-Ghzzi

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.

1. Introduction

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.

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.

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 Translation of verb phrases using rule-based approach.

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.

3.2 Translation of noun phrases using transfer-based approach.

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.

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

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.

3.4 Example-Based translation system

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

Summarization of words matching level

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.

4. Result and comparison

In Arabic to English MT of verb phrases:

Arabic to English MT of noun phrases:

Arabic to English MT ‘UniArab’:

An example-based Arabic to English MT:

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.

5. Questions from the audience .