Thesis (M.Sc.)--York University, 2008. Graduate Programme in Science. / Typescript. Includes bibliographical references (leaves 223-232). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR45965

Call number: LD2668 .T4 1984 C67 / Master of Science

by Tham Yiu-Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references. / Abstract --- p.i / Acknowledgements --- p.iii / Table of Contents --- p.iv / Chapter Chapter I --- Introduction / Chapter 1.1 --- Introduction --- p.1-1 / Chapter 1.2 --- Survey on Chinese Character Recognition --- p.1-4 / Chapter 1.3 --- Methodology Adopts in Our System --- p.1-7 / Chapter 1.4 --- Contributions and Organization of the Thesis --- p.1-11 / Chapter Chapter II --- Pre-processing and Stroke Extraction / Chapter 2.1 --- Introduction --- p.2-1 / Chapter 2.2 --- Thinning --- p.2-1 / Chapter 2.2.1 --- Introduction to Thinning --- p.2-1 / Chapter 2.2.2 --- Proposed Thinning Algorithm Cater for Stroke Extraction --- p.2-6 / Chapter 2.2.3 --- Thinning Results --- p.2-9 / Chapter 2.3 --- Stroke Extraction --- p.2-13 / Chapter 2.3.1 --- Introduction to Stroke Extraction --- p.2-13 / Chapter 2.3.2 --- Proposed Stroke Extraction Method --- p.2-14 / Chapter 2.3.2.1 --- Fork point detection --- p.2-16 / Chapter 2.3.2.2 --- 8-connected fork point merging --- p.2-18 / Chapter 2.3.2.3 --- Sub-stroke extraction --- p.2-18 / Chapter 2.3.2.4 --- Fork point merging --- p.2-19 / Chapter 2.3.2.5 --- Sub-stroke connection --- p.2-24 / Chapter 2.3.3 --- Stroke Extraction Accuracy --- p.2-27 / Chapter 2.3.4 --- Corner Detection --- p.2-29 / Chapter 2.3.4.1 --- Introduction to Corner Detection --- p.2-29 / Chapter 2.3.4.2 --- Proposed Corner Detection Formulation --- p.2-30 / Chapter 2.4 --- Concluding Remarks --- p.2-33 / Chapter Chapter III --- Four Corner Code / Chapter 3.1 --- Introduction --- p.3-1 / Chapter 3.2 --- Deletion of Hook Strokes --- p.3-3 / Chapter 3.3 --- Stroke Types Selection --- p.3-5 / Chapter 3.4 --- Probability Formulations of Stroke Types --- p.3-7 / Chapter 3.4.1 --- Simple Strokes --- p.3-7 / Chapter 3.4.2 --- Square --- p.3-8 / Chapter 3.4.3 --- Cross --- p.3-10 / Chapter 3.4.4 --- Upper Right Corner --- p.3-12 / Chapter 3.4.5 --- Lower Left Corner --- p.3-12 / Chapter 3.5 --- Corner Segments Extraction Procedure --- p.3-14 / Chapter 3.5.1 --- Corner Segment Probability --- p.3-21 / Chapter 3.5.2 --- Corner Segment Extraction --- p.3-23 / Chapter 3.6 4 --- C Codes Generation --- p.3-26 / Chapter 3.7 --- Parameters Determination --- p.3-29 / Chapter 3.8 --- Sensitivity Test --- p.3-31 / Chapter 3.9 --- Classification Rate --- p.3-32 / Chapter 3.10 --- Feedback by Corner Segments --- p.3-34 / Chapter 3.11 --- Classification Rate with Feedback by Corner Segment --- p.3-37 / Chapter 3.12 --- Reasons for Mis-classification --- p.3-38 / Chapter 3.13 --- Suggested Solution to the Mis-interpretation of Stroke Type --- p.3-41 / Chapter 3.14 --- Reduce Size of Candidate Set by No.of Input Segments --- p.3-43 / Chapter 3.15 --- Extension to Higher Order Code --- p.3-45 / Chapter 3.16 --- Concluding Remarks --- p.3-46 / Chapter Chapter IV --- Relaxation / Chapter 4.1 --- Introduction --- p.4-1 / Chapter 4.1.1 --- Introduction to Relaxation --- p.4-1 / Chapter 4.1.2 --- Formulation of Relaxation --- p.4-2 / Chapter 4.1.3 --- Survey on Chinese Character Recognition by using Relaxation --- p.4-5 / Chapter 4.2 --- Relaxation Formulations --- p.4-9 / Chapter 4.2.1 --- Definition of Neighbour Segments --- p.4-9 / Chapter 4.2.2 --- Formulation of Initial Probability Assignment --- p.4-12 / Chapter 4.2.3 --- Formulation of Compatibility Function --- p.4-14 / Chapter 4.2.4 --- Formulation of Support from Neighbours --- p.4-16 / Chapter 4.2.5 --- Stopping Criteria --- p.4-17 / Chapter 4.2.6 --- Distance Measures --- p.4-17 / Chapter 4.2.7 --- Parameters Determination --- p.4-21 / Chapter 4.3 --- Recognition Rate --- p.4-23 / Chapter 4.4 --- Reasons for Mis-recognition in Relaxation --- p.4-27 / Chapter 4.5 --- Introduction of No-label Class --- p.4-31 / Chapter 4.5.1 --- No-label Initial Probability --- p.4-31 / Chapter 4.5.2 --- No-label Compatibility Function --- p.4-32 / Chapter 4.5.3 --- Improvement by No-label Class --- p.4-33 / Chapter 4.6 --- Rate of Convergence --- p.4-35 / Chapter 4.6.1 --- Updating Formulae in Exponential Form --- p.4-38 / Chapter 4.7 --- Comparison with Yamamoto et al's Relaxation Method --- p.4-40 / Chapter 4.7.1 --- Formulations in Yamamoto et al's Relaxation Method --- p.4-40 / Chapter 4.7.2 --- Modifications in [YAMAM82] --- p.4-42 / Chapter 4.7.3 --- Performance Comparison with [YAMAM82] --- p.4-43 / Chapter 4.8 --- System Overall Recognition Rate --- p.4-45 / Chapter 4.9 --- Concluding Remarks --- p.4-48 / Chapter Chapter V --- Concluding Remarks / Chapter 5.1 --- Recapitulation and Conclusions --- p.5-1 / Chapter 5.2 --- Limitations in the System --- p.5-4 / Chapter 5.3 --- Suggestions for Further Developments --- p.5-6 / References --- p.R-1 / Appendix User's Guide / Chapter A .l --- System Functions --- p.A-1 / Chapter A.2 --- Platform and Compiler --- p.A-1 / Chapter A.3 --- File List --- p.A-2 / Chapter A.4 --- Directory --- p.A-3 / Chapter A.5 --- Description of Sub-routines --- p.A-3 / Chapter A.6 --- Data Structures and Header Files --- p.A-12 / Chapter A.7 --- Character File charfile Structure --- p.A-15 / Chapter A.8 --- Suggested Program to Implement the System --- p.A-17

by Lau Chi Ching, Donny. / Thesis (M.Sc.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves [71]). / Chapter 1. --- Introduction / Chapter 1.1 --- Introduction --- p.1 / Chapter 1.2 --- Comparison of Phonetic and Written Character Input --- p.2 / Chapter 1.3 --- Significance of Phonetic Input --- p.4 / Chapter 1.4 --- Drawbacks of Current Phonetic Input Methods --- p.4 / Chapter 2. --- Objectives of the Research / Chapter 2.1 --- Main Objectives --- p.6 / Chapter 2.2 --- User Background Pre-requisite --- p.8 / Chapter 2.3 --- Roman-Spelling (Recommended Phonetic Scheme) --- p.9 / Chapter 2.4 --- User Input and the Output Scenario --- p.10 / Chapter 2.5 --- Outline of Free-Style Phonetic Input Processing --- p.15 / Chapter 3. --- Lexical Analyser / Chapter 3.1 --- Overview of Lexical Analyser --- p.17 / Chapter 3.2 --- Identification of Character Boundary --- p.19 / Chapter 3.3 --- Lexical Tree --- p.20 / Chapter 4. --- Selection Module / Chapter 4.1 --- Overview of Selection Module --- p.23 / Chapter 4.2 --- Fault-tolerance Capability --- p.24 / Chapter 4.3 --- Group Table (Groups of Similar Sounds) --- p.26 / Chapter 4.4 --- Distance Calculation Algorithm --- p.30 / Chapter 4.4.1 --- Character Dictionary --- p.31 / Chapter 4.4.2 --- Phrase Dictionary --- p.33 / Chapter 4.4.3 --- Hashing Key of the Dictionaries --- p.35 / Chapter 4.4.4 --- Maintenance of Dictionaries --- p.36 / Chapter 4.4.5 --- Distance Calculation of Character Input --- p.37 / Chapter 4.4.5.1 --- Examples of Character Output --- p.39 / Chapter 4.4.6 --- Distance Calculation of Phrase Input --- p.40 / Chapter 4.4.6.1 --- Examples of Phrase Output --- p.44 / Chapter 4.4.7 --- Explanation of Algorithm --- p.45 / Chapter 5. --- Syntax Analyser / Chapter 5.1 --- Overview of Syntax Analyser --- p.46 / Chapter 5.2 --- Overview of a Chinese Simple Sentence --- p.47 / Chapter 5.3 --- Testing Simple Sentence Rules --- p.48 / Chapter 5.3.1 --- NDFA for Chinese Grammar Rules --- p.49 / Chapter 5.4 --- Syntax Analysis Algorithm --- p.51 / Chapter 5.4.1 --- Explanation of Algorithm --- p.52 / Chapter 5.4.2 --- Justification of Algorithm --- p.54 / Chapter 5.4.3 --- Examples of Syntax Analysis --- p.55 / Chapter 5.5 --- Parse Tree for Semantic Analysis --- p.59 / Chapter 6. --- Division of Technical Work --- p.61 / Chapter 7. --- Applied Areas of the Research / Chapter 7.1 --- Chinese User Interface with Operating System --- p.63 / Chapter 7.2 --- Bilingual Programming Language Editor --- p.64 / Chapter 7.3 --- Development of a Chinese Programming Language --- p.66 / Chapter 7.4 --- Putonghua Training --- p.67 / Chapter 8. --- Conclusions and Future Improvements / Chapter 8.1 --- Conclusions --- p.68 / Chapter 8.2 --- Future Improvements --- p.69 / References / Appendix A

by Chan Shing Chi, Michael. / Thesis (M.Ph.)--Chinese University of Hong Kong, 1987. / Bibliography: leaves [112]-[114]

by Yeung Chuen-sang. / Thesis (M.Ph.)--Chinese University of Hong Kong, 1987. / Bibliography: leaves 190-194.

by Wai-Yip Tung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves 55-56). / Chapter 1. --- Introduction --- p.1 / Chapter 1.1. --- Previous work --- p.2 / Chapter 1.1.1. --- A Chinese METAFONT --- p.2 / Chapter 1.1.2. --- Chinese character generator --- p.2 / Chapter 1.1.3. --- Chinese Character Design System CCDS --- p.2 / Chapter 1.2. --- Goals of the thesis --- p.3 / Chapter 1.3. --- Overview of the thesis --- p.3 / Chapter 2. --- Construction of Chinese Characters --- p.5 / Chapter 2.1 --- Introduction --- p.5 / Chapter 2.2. --- liu shu(六書）Six Principles of Chinese Character Construction --- p.5 / Chapter 2.3. --- Structural Analysis of Chinese Characters --- p.7 / Chapter 2.3.1. --- Left-Right Structure --- p.8 / Chapter 2.3.2. --- Top-Bottom Structure --- p.9 / Chapter 2.3.3. --- Inside-Outside Structure --- p.10 / Chapter 2.3.4. --- Singleton Structure --- p.10 / Chapter 2.4. --- Usage frequency of radicals --- p.11 / Chapter 2.5. --- Usage frequency of Bushou --- p.11 / Chapter 2.6. --- Usage frequency of Shengpang --- p.13 / Chapter 2.7. --- Summary --- p.15 / Chapter 3. --- Composition by Radicals --- p.17 / Chapter 3.1. --- Introduction --- p.17 / Chapter 3.2. --- Transforming radicals --- p.18 / Chapter 3.3. --- Quality of transformed radicals --- p.19 / Chapter 3.4. --- Lower level components --- p.20 / Chapter 3.5. --- Summary --- p.23 / Chapter 4. --- Automatic Hinting for Chinese Font --- p.24 / Chapter 4.1 --- Introduction --- p.24 / Chapter 4.2. --- Automatic hinting for Chinese font --- p.26 / Chapter 4.3. --- Stroke recognition --- p.30 / Chapter 4.3.1. --- Identify horizontal lines --- p.31 / Chapter 4.3.2. --- Identify stroke segments --- p.31 / Chapter 4.3.3. --- Stroke recognition --- p.32 / Chapter 4.4. --- Regularize stroke width --- p.33 / Chapter 4.5. --- Grid-fitting horizontal and vertical strokes --- p.33 / Chapter 4.6. --- Grid-fitting radicals --- p.37 / Chapter 4.7. --- Summary --- p.39 / Chapter 5. --- RADIT - A Chinese Font Editor --- p.41 / Chapter 5.1. --- Introduction --- p.41 / Chapter 5.2. --- RADIT basics --- p.41 / Chapter 5.2.1. --- Character selection window --- p.42 / Chapter 5.2.2. --- Character window --- p.42 / Chapter 5.2.3. --- Tools Palette --- p.43 / Chapter 5.2.4. --- Toolbar --- p.43 / Chapter 5.2.5. --- Zooming the character window --- p.44 / Chapter 5.3. --- Editing a character --- p.44 / Chapter 5.3.1. --- Selecting handles --- p.44 / Chapter 5.3.2. --- Adding lines and curves --- p.45 / Chapter 5.3.3. --- Delete control points --- p.45 / Chapter 5.3.4. --- Moving control points --- p.45 / Chapter 5.3.5. --- Cut and paste --- p.46 / Chapter 5.3.6. --- Undo --- p.46 / Chapter 5.4. --- Adding radicals to a character --- p.46 / Chapter 5.5. --- Rasterizing and grid-fitting a character --- p.47 / Chapter 5.5.1. --- Rasterizing a character --- p.48 / Chapter 5.5.2. --- Stroke detection and regularization --- p.48 / Chapter 5.5.3. --- Grid-fitting and rasterizing a character --- p.49 / Chapter 6. --- Conclusions --- p.50 / Appendix A: Sample Fonts --- p.52 / References --- p.55

Sin Ka Wai. / Thesis (M.Sc.)--Chinese University of Hong Kong, 1992. / Includes bibliographical references (leaves [81]-[82]). / PREFACE / ABSTRACT / CONTENT / Chapter §1. --- INTRODUCTION / Chapter §1.1 --- The Chinese language --- p.1 / Chapter §1.2 --- Chinese information processing system --- p.2 / Chapter §1.3 --- Chinese character recognition --- p.4 / Chapter §1.4 --- Multi-stage tree classifier Vs Single-stage tree classifier in Chinese character recognition --- p.6 / Chapter §1.5 --- Decision Tree / Chapter §1.5.1 --- Basic Terminology of a decision tree --- p.7 / Chapter §1.5.2 --- Structure design of a decision tree --- p.10 / Chapter §1.6 --- Motivation of the project --- p.12 / Chapter §1.7 --- Objects of the project --- p.14 / Chapter §1.8 --- Development environment --- p.14 / Chapter §2. --- APPROACH 1 - UNSUPERVISED LEARNING / Chapter §2.1 --- Idea --- p.15 / Chapter §2.2 --- Feature Extraction / Chapter §2.2.1 --- Feature selection criteria --- p.15 / Chapter §2.2.2 --- 4C code --- p.20 / Chapter §2.2.3 --- Regional code --- p.22 / Chapter §2.2.4 --- Walsh Transform --- p.24 / Chapter §2.2.5 --- Black dot density projection profile --- p.26 / Chapter §2.2.6 --- Corner features --- p.28 / Chapter §2.3 --- Clustering Method -K-MEANS & Other Algorithms --- p.32 / Chapter §2.4 --- Pros & Cons --- p.35 / Chapter §2.5 --- Decision Table --- p.37 / Chapter §2.6 --- The Optimum Classifier & its Implemen- tation difficulties --- p.39 / Chapter §3. --- APPROACH 2 - SUPERVISED LEARNING --- p.43 / Chapter §4. --- POSSIBLE IMPROVEMENT / Chapter §4.1 --- Training and Test Sample Reduction --- p.46 / Chapter §4.2 --- Noise Filtering --- p.46 / Chapter §4.3 --- Decision with Overlapping --- p.52 / Chapter §4.4 --- Back Tracking for Holes --- p.56 / Chapter §4.5 --- Fuzzy Decision with Tolerance Limit --- p.59 / Chapter §4.6 --- Different Tree Architecture --- p.63 / Chapter §4.7 --- Building Decision Tree by Entropy Reduction Method --- p.65 / Chapter §5. --- EXPERIMENTAL RESULTS & THE IMPROVED MULTISTAGE CLASSIFIER / Chapter §5.1 --- Experimental Results --- p.70 / Chapter §5.2 --- Conclusion --- p.81 / Chapter §6. --- IMPROVED MULTISTAGE TREE CLASSIFIER / Chapter §6.1 --- The Optimal Multistage Tree Classifier --- p.83 / Chapter §6.2 --- Performance Analysis --- p.84 / Chapter §7. --- FURTHER DISCRIMINATION BY CONTEXT CONSIDERATION --- p.87 / Chapter §8. --- CONCLUSION / Chapter §8.1 --- Advantage of the Classifier --- p.89 / Chapter §8.2 --- Limitation of the Classifier --- p.90 / Chapter §9. --- AREA OF FUTURE RESEARCH AND IMPROVEMENT / Chapter §9.1 --- Detailed Analysis at Each Terminal Node --- p.91 / Chapter §9.2 --- Improving the Noise Filtering Technique --- p.92 / Chapter §9.3 --- The Use of 4 Corner Code --- p.93 / Chapter §9.4 --- Increase in the Dimension of the Feature Space --- p.95 / Chapter §9.5 --- 1-Tree Protocol with Entropy Reduction --- p.96 / Chapter §9.6 --- The Use of Human Intelligence --- p.97 / APPENDICES / Chapter A.1 --- K-MEANS / Chapter A.2 --- Maximum Distance Algorithm & ISODATA Algorithm / Chapter A.3 --- Approach Two - Supervised Learning / Chapter A.4 --- Theories on Statistical Discriminant Analysis / Chapter A.5 --- An Example of Misclassification Table / Chapter A.6 --- "Listing of the Program ""CHDIS.C""" / Chapter A.7 --- Further Discrimination by Context Consideration / Chapter A.8 --- Passage used in Testing the Performance of the Classifier with Context Consideration / Chapter A.9 --- A Partial List of Semantically Related Chinese Characters / REFERENCE

Suen Tow Sunny. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 65-67). / Introduction --- p.1 / Chapter 1. --- ACCESS with an Extendible User-friendly X/Chinese Interface --- p.4 / Chapter 1.1. --- System requirement --- p.4 / Chapter 1.1.1. --- User interface issue --- p.4 / Chapter 1.1.2. --- Development issue --- p.5 / Chapter 1.2. --- Development decision --- p.6 / Chapter 1.2.1. --- X window system --- p.6 / Chapter 1.2.2. --- X/Chinese toolkit --- p.7 / Chapter 1.2.3. --- C language --- p.8 / Chapter 1.2.4. --- Source code control system --- p.8 / Chapter 1.3. --- System architecture --- p.9 / Chapter 1.4. --- User interface --- p.10 / Chapter 1.5. --- Sample screen --- p.13 / Chapter 1.6. --- System extension --- p.14 / Chapter 1.7. --- System portability --- p.18 / Chapter 2. --- Study on Algorithms for Automatically Correcting Characters in Chinese Cangjie-typed Text --- p.19 / Chapter 2.1. --- Chinese character input --- p.19 / Chapter 2.1.1. --- Chinese keyboards --- p.20 / Chapter 2.1.2. --- Keyboard redefinition scheme --- p.21 / Chapter 2.2. --- Cangjie input method --- p.24 / Chapter 2.3. --- Review on existing techniques for automatically correcting words in English text --- p.26 / Chapter 2.3.1. --- Nonword error detection --- p.27 / Chapter 2.3.2. --- Isolated-word error correction --- p.28 / Chapter 2.3.2.1. --- Spelling error patterns --- p.29 / Chapter 2.3.2.2. --- Correction techniques --- p.31 / Chapter 2.3.3. --- Context-dependent word correction research --- p.32 / Chapter 2.3.3.1. --- Natural language processing approach --- p.33 / Chapter 2.3.3.2. --- Statistical language model --- p.35 / Chapter 2.4. --- Research on error rates and patterns in Cangjie input method --- p.37 / Chapter 2.5. --- Similarities and differences between Chinese and English typed text --- p.41 / Chapter 2.5.1. --- Similarities --- p.41 / Chapter 2.5.2. --- Differences --- p.42 / Chapter 2.6. --- Proposed algorithm for automatic Chinese text correction --- p.44 / Chapter 2.6.1. --- Sentence level --- p.44 / Chapter 2.6.2. --- Part-of-speech level --- p.45 / Chapter 2.6.3. --- Character level --- p.47 / Conclusion --- p.50 / Appendix A Cangjie Radix Table --- p.51 / Appendix B Sample Text --- p.52 / Article 1 --- p.52 / Article 2 --- p.53 / Article 3 --- p.56 / Article 4 --- p.58 / Appendix C Error Statistics --- p.61 / References --- p.65

by Lam Chin-keung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 129-135 (2nd gp.)). / ACKNOWLEDGMENTS --- p.I / ABSTRACT --- p.II / TABLE OF CONTENTS --- p.III / LIST OF FIGURES --- p.VI / LIST OF TABLES --- p.VIII / Chapter CHAPTER 1 --- INTRODUCTION --- p.1 / Chapter 1.1 --- Motivations --- p.1 / Chapter 1.2 --- Objectives --- p.3 / Chapter 1.3 --- More to go --- p.3 / Chapter 1.4 --- Chapter Summary --- p.4 / Chapter CHAPTER 2 --- RELATED WORK --- p.6 / Chapter 2.1 --- Chinese Related Work --- p.6 / Chapter 2.1.1 --- Chinese Natural Language --- p.6 / Chapter 2.1.2 --- Chinesized Query Language From English --- p.7 / Chapter 2.2 --- High Level Database Query Language --- p.8 / Chapter 2.2.1 --- Relational Algebra vs Relational Calculus --- p.9 / Chapter 2.2.2 --- Procedural vs Declarative --- p.10 / Chapter 2.2.3 --- Natural Language (NL) vs Restricted Natural Language (RNL) --- p.11 / Chapter 2.3 --- Database Query Interface --- p.13 / Chapter 2.3.1 --- Linear Textual Interface --- p.13 / Chapter 2.3.2 --- Form-based Interface --- p.14 / Chapter 2.3.3 --- Graphical Interface --- p.14 / Chapter 2.4 --- Remarks --- p.14 / Chapter CHAPTER 3 --- DESIGN PRINCIPLES --- p.16 / Chapter 3.1 --- Underlying Data Model of the new language --- p.16 / Chapter 3.2 --- Problems Under Attack --- p.17 / Chapter 3.2.1 --- Naturalness --- p.17 / Chapter 3.2.2 --- Procedural vs Declarative --- p.19 / Chapter 3.2.3 --- Supports of Chinese Characters --- p.21 / Chapter 3.3 --- Design Principles --- p.22 / Chapter 3.4 --- Chapter Summary --- p.26 / Chapter CHAPTER 4 --- LANGUAGE DEFINITION --- p.28 / Chapter 4.1 --- Language Overvew --- p.28 / Chapter 4.2 --- The Data Manipulation Language --- p.29 / Chapter 4.2.1 --- Relational Operators --- p.30 / Chapter 4.2.2 --- Rail-Track Diagram of Chiql --- p.32 / Chapter 4.2.3 --- The 11-template --- p.33 / Chapter 4.2.4 --- Chiql Examples --- p.37 / Chapter 4.2.5 --- Common Language Constructs --- p.39 / Chapter 4.2.6 --- ONE issue about GROUP BY and RESTRICTION --- p.41 / Chapter 4.3 --- Other Language Features --- p.42 / Chapter 4.3.1 --- Aggregate Functions --- p.43 / Chapter 4.3.2 --- Attribute Alias --- p.44 / Chapter 4.3.3 --- Conditions in Chinese --- p.45 / Chapter 4.3.4 --- Unquantifed Predicates --- p.45 / Chapter 4.3.5 --- sorting --- p.47 / Chapter 4.4 --- Treatment of Quantified Predicates --- p.48 / Chapter 4.5 --- The Data Definition Language --- p.52 / Chapter 4.5.1 --- Create Table --- p.52 / Chapter 4.5.2 --- Drop Table --- p.54 / Chapter 4.5.3 --- Alter Table --- p.54 / Chapter 4.5.4 --- Insert Row --- p.56 / Chapter 4.5.5 --- Delete Row --- p.56 / Chapter 4.5.6 --- Update Row --- p.57 / Chapter 4.5.7 --- Remarks on DDL --- p.58 / Chapter 4.6 --- Chapter Summary --- p.59 / Chapter CHAPTER 5 --- END-USER INTERFACE --- p.61 / Chapter 5.1 --- EUI Overview --- p.61 / Chapter 5.2 --- Design Principles --- p.62 / Chapter 5.2.1 --- Language Independent Aspects --- p.62 / Chapter 5.2.2 --- Language Dependent Aspects --- p.64 / Chapter 5.3 --- Complex Condition Handling --- p.68 / Chapter 5.4 --- Input Sequences of the EUI --- p.71 / Chapter 5.5 --- Query Formulation： An Example --- p.73 / Chapter 5.6 --- Chapter Summary --- p.85 / Chapter CHAPTER 6 --- CHIQL TO SQL TRANSLATIONS --- p.86 / Chapter 6.1 --- Related Work --- p.87 / Chapter 6.2 --- Translation Overview --- p.87 / Chapter 6.2.1 --- "Pass One:Mapping( Input = Chiql, Output = multi-statement SQL)" --- p.89 / Chapter 6.2.2 --- "Pass Two:Nesting(Input = multi-statement SQL, Output = single statement SQL)" --- p.92 / Chapter 6.2.3 --- Technical Difficulties in Chiql/SQL Translation --- p.99 / Chapter 6.3 --- Chapter Summary --- p.106 / Chapter CHAPTER 7 --- EVALUATION --- p.108 / Chapter 7.1 --- Expressiveness Test --- p.108 / Chapter 7.1.1 --- Results --- p.109 / Chapter 7.1.2 --- Implications --- p.111 / Chapter 7.2 --- Usability Evaluation --- p.111 / Chapter 7.2.1 --- Evaluation Methodology --- p.112 / Chapter 7.2.2 --- Result:Completion Time --- p.113 / Chapter 7.2.3 --- Result: Additional Help --- p.116 / Chapter 7.2.4 --- Result： Query Error --- p.116 / Chapter 7.2.5 --- Result： Overall Score --- p.118 / Chapter 7.2.6 --- User Comments --- p.120 / Chapter 7.3 --- Chapter Summary --- p.120 / Chapter CHAPTER 8 --- CONCLUSIONS --- p.122 / Chapter 8.1 --- Thesis Conclusions --- p.122 / Chapter 8.2 --- Future Work --- p.124 / REFERENCES / APPENDIX