TAILIEUCHUNG - C++ Lab 4 Review, Summary & Building Skill Dr. John Abraham Professor, UTPA

You learned quite a bit over the last three weeks. It is important that you have a solid foundation before adding new topics. This session will allow you to practice what you learned through a series of questions and . What is the purpose of /* */ at the beginning of each of the program? . This program has one line that starts with a #, and other programs have several lines that start with #. Explain their purpose. What happens if they are not included in the program? . int main () . These three parts of a function heading have specific purposes. Explain them. Does. | Lab 4 Review Summary Building Skill Dr. John Abraham Professor UTPA You learned quite a bit over the last three weeks. It is important that you have a solid foundation before adding new topics. This session will allow you to practice what you learned through a series of questions and answers. ------------------------------lab1-------------------------------- In lab one you learned how to work in the Microsoft dot net environment by writing a Hello program. Answer the following questions about that program. Say Hello program By Dr. John Abraham Created for 1370 students Teaching objective program structure include iostream using namespace std int main cout See mom I wrote my first C program n getchar return 0 . What is the purpose of at the beginning of each of the program . This program has one line that starts with a and other programs have several lines that start with . Explain their purpose. What happens if they are not included in the program . int main . These three parts of a function heading have specific purposes. Explain them. Does return 0 have any relation to the function heading Explain. . Differentiate between procedure oriented and object oriented programming. . Show two ways a line-feed can be added to the output. . The source code is written using an editor. What would be the file extension of the source code Explain the stages it must go through until it becomes an executable program. What happens at each stage . Define a variable as related c . What are the rules about variable identifier names look in the ppt slides for answers . Why is there a type associated with each variable . Answer the questions associated with integer operations. int a 10 b 3 c c a b What would be stored in c C a b What would be stored in c What happened to the previous value . double d e e d b What would be stored in d Why Is the following operation legal Explain. e d b lab2 Program Calculate area and perimeter of a Circle By Dr. John Abraham

• Kỹ thuật lập trình
• Machine language
• Assembly Languages
• High Level Language
• Semantic
• Runtime and Logical errors
• Constant
• N gram based Statistical
• Machine Translation versus Syntax Augmented Machine Translation
• comparison and system combination
• scientific reports
• model language
• process natural language
• A CONSIDERATION ON THE CONCEPTS STRUCTURE
• LANGUAGE IN RELATION TO SELECTIONS OF TRANSLATION EQUIVALENTS OF VERBS
• MACHINE TRANSLATION SYSTEMS
• DEALING WITH INCOMPLETENESS
• LINGUISTIC KNOWLEDGE IN LANGUAGE TRANSLATION TRANSFER AND GENERATION STAGE
• MU MACHINE TRANSLATION PROJECT
• Machine translation
• Statistical machine translation
• Domain adaptation
• The English Vietnamese language pair
• Low resource domains
• Lecture Natural language processing
• Natural language processing
• Natural language
• Language processing
• Statistical MT systems
• Machine Translation will not Work
• FORUM ON MACHINE TRANSLATION
• Martin Kay Xerox Palo Alto
• Machine Translation already does Work
• Margaret King
• High Level Language Interface
• Assembly language
• Computer organization
• Lecture Computer organization
• Machine instruction characteristics
• Data representation
• Khoa học máy tính
• Tạp chí khoa học
• Phrase based Statistical Machine Translation
• Natural Language Annotation
• Machine Learning
• Model
• Annotate
• Train
• Test
• Evaluate
• and Revise
• Fast and Scalable Decoding
• Language Model Look Ahead
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Cross Language Document Summarization
• Machine Translation Quality Prediction
• Xiaojun Wan
• Huiying Li and Jianguo Xiao
• Enhancing Language Models
• Statistical Machine Translation with Backward N grams
• Mutual Information Triggers
• On line Language Model Biasing
• Sankaranarayanan Ananthakrishnan
• Revisiting Pivot Language Approach
• Hua Wu and Haifeng Wang
• xử lý ngôn ngữ tự nhiên
• A Large Scale Distributed Syntactic
• Lexical Language Model
• A New String to Dependency
• Machine Translation Algorithm
• arget Dependency Language Model
• Distributed Word Clustering
• Large Scale Class Based Language Modeling
• Stochastic Language Generation
• WIDL expressions and its Application
• Machine Translation and Summarization
• mô hình ngôn ngữ
• Randomised Language Modelling
• David Talbot and Miles Osborne
• Combining Source and Target Language Information
• Name Tagging
• Machine Translation Output
• Pivot Language Approach
• Continuous Space Language Models
• Holger Schwenk and Daniel Dchelotte and Jean Luc Gauvain
• Multi Engine Machine Translation
• Voted Language Model
• Tadashi Nomoto