University :Mansoura University |
Faculty :Faculty of Computers and Information |
Department :Computer Science |
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1- Course data :- |
| Code: | عح 476 | Course title: | Natural Lang .Processing | Year/Level: | رابعة علوم الحاسب | Program Title: | - بكالوريوس الحاسبات والمعلومات علوم الحاسـب
| Specialization: | | Teaching Hours: | Theoretical: | 3 | Tutorial: | | Practical: | 3 |
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2- Course aims :- |
| - motivation for natural language processing and its basic concepts and techniques on the levels of words, syntax, semantics, and pragmatics
- Teach the students how to analyse the sentence and using different parser techniques
- understanding the main topics of NLP
- Understanding the main concepts of machine translator
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3- Course Learning Outcomes :- |
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4- Course contents :- |
| No | Topics | Week |
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1 | Bullding Sementic Representation | | 2 | Introduction to Macine Translator | | 3 | Macine Translation in Practice | | 4 | Translation Process and Document Review | | 5 | Introduction to Representation and Processing | | 6 | Process Linguistic Knowledge | | 7 | Generating Methods | | 8 | Machine Translation Engine | | 9 | Review of some NLP concepts | | 10 | Templatex and Kewords | | 11 | Databse quering and ELIZA System | | 12 | Trees and PS Rules | | 13 | Parsing Algorithms | |
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5- Teaching and learning methods :- |
| S | Method |
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| Lecture : powerpoint representations | | Practical: computer labs | | Project: computer labs | | DIscussion: face to face |
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6- Teaching and learning methods of disables :- |
| - not exist
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7- Student assessment :- |
| A. Timing |
| No | Method | Week |
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1 | Mid-term Exam | 10 | 2 | Oral | 15 | 3 | Project | 15 | 4 | Final-Term Exam | 15 |
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| B. Degree |
| No | Method | Degree |
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1 | Mid_term examination | 10 | 2 | Final_term examination | 75 | 3 | Oral examination | 5 | 4 | Practical examination | 5 | 5 | Semester work | 5 | 6 | Other types of asessment | | Total | 100% |
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8- List of books and references |
| S | Item | Type |
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1 | natural language processing for prolog programmers | |
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9- Matrix of knowledge and skills of the course |
| S | Content | Study week |
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| Bullding Sementic Representation | | | Introduction to Macine Translator | | | Macine Translation in Practice | | | Translation Process and Document Review | | | Introduction to Representation and Processing | | | Process Linguistic Knowledge | | | Generating Methods | | | Machine Translation Engine | | | Review of some NLP concepts | | | Templatex and Kewords | | | Databse quering and ELIZA System | | | Trees and PS Rules | | | Parsing Algorithms | |
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Course Coordinator(s): - |
| - محمد سعيد محمد شوقي عبد الحكيم
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Head of department: - |
| Tarek Tawfek Ahmed Hamza |