Faculty of Computers and Information

Model (No 12)

Course Specification : Natural Lang .Processing

2009 - 2010

 
Farabi Quality Management of Education and Learning - 22/12/2024
University :Mansoura University
Faculty :Faculty of Computers and Information
Department :Computer Science
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: 3Tutorial: Practical: 3
2- Course aims :-
  1. motivation for natural language processing and its basic concepts and techniques on the levels of words, syntax, semantics, and pragmatics
  2. Teach the students how to analyse the sentence and using different parser techniques
  3. understanding the main topics of NLP
  4. Understanding the main concepts of machine translator
3- Course Learning Outcomes :-
4- Course contents :-
NoTopicsWeek
1Bullding Sementic Representation
2Introduction to Macine Translator
3Macine Translation in Practice
4Translation Process and Document Review
5Introduction to Representation and Processing
6Process Linguistic Knowledge
7Generating Methods
8Machine Translation Engine
9Review of some NLP concepts
10Templatex and Kewords
11Databse quering and ELIZA System
12Trees and PS Rules
13Parsing Algorithms

5- Teaching and learning methods :-
SMethod
Lecture : powerpoint representations
Practical: computer labs
Project: computer labs
DIscussion: face to face

6- Teaching and learning methods of disables :-
  1. not exist

7- Student assessment :-
A. Timing
NoMethodWeek
1Mid-term Exam10
2Oral15
3Project15
4Final-Term Exam15
B. Degree
NoMethodDegree
1Mid_term examination10
2Final_term examination75
3Oral examination 5
4Practical examination 5
5Semester work5
6Other types of asessment
Total100%

8- List of books and references
SItemType
1natural language processing for prolog programmers

9- Matrix of knowledge and skills of the course
SContentStudy week
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

Course Coordinator(s): -
  1. محمد سعيد محمد شوقي عبد الحكيم
Head of department: -
Tarek Tawfek Ahmed Hamza