TAILIEUCHUNG - C++ Lab 7 Post-Test and ested Loops

So far we learned pre-test loops such as the general while loop, counter controlled loops specifically for loop, sentinel controlled loops and flag controlled loops. In all these loops we initialized the loop control variable(s) and tested the condition before entering the loop. For instance, data-validation would require the data to be read at least once and then test for its validity. There are special situations were the loop must be executed at least once before the testing is done. Two examples come to mind, a circular queue, and sorting. In such cases the post test looping construct is used | Lab 7 Post-Test and Nested Loops Dr. John P. Abraham So far we learned pre-test loops such as the general while loop counter controlled loops specifically for loop sentinel controlled loops and flag controlled loops. In all these loops we initialized the loop control variable s and tested the condition before entering the loop. For instance data-validation would require the data to be read at least once and then test for its validity. There are special situations were the loop must be executed at least once before the testing is done. Two examples come to mind a circular queue and sorting. In such cases the post test looping construct is used. There are also situations where it makes better reading when a post test loop is used. In such cases post test construct is not required. Do-While In C the post-test construct is implemented using do-while. In case of data-validation a do-while loop would look some thing like Do Prompt and read the data While the data is invalid keep reading the data if the data entered is not valid. Program 7-1_ include iostream using namespace std int main int monthNum do cout Enter the month a number ranging from 1 to 12 -- cin monthNum if monthNum 1 monthNum 12 cout Error month not in acceptable range n while monthNum 1 monthNum 12 return 0 Enter the month a number ranging from 1 to 12 -- 20 Error month not in acceptable range Enter the month a number ranging from 1 to 12 -- 13 Error month not in acceptable range Enter the month a number ranging from 1 to 12 -- 0 Error month not in acceptable range Enter the month a number ranging from 1 to 12 -- Nested Loops Here is a loop to display a multiplication table for the number 2. Program 7-2_ include iostream include iomanip using namespace std int main int tableFor 2 int multiplier 1 while multiplier 12 cout setw 3 tableFor x setw 3 multiplier setw 4 tableFor multiplier .

• 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