Li Hoi-Ying. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves 117-120). / Abstract --- p.i / Acknowledgement --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Background --- p.8 / Chapter 2.1 --- Strategies in Machine Translation Systems --- p.9 / Chapter 2.1.1 --- Direct MT Strategy --- p.10 / Chapter 2.1.2 --- Transfer MT strategy --- p.11 / Chapter 2.1.3 --- Interlingua MT Strategy --- p.13 / Chapter 2.1.4 --- AI Approach --- p.15 / Chapter 2.1.5 --- Statistical Approach --- p.15 / Chapter 2.2 --- Grammars --- p.16 / Chapter 2.3 --- Sublanguages --- p.19 / Chapter 2.4 --- Human Interaction --- p.21 / Chapter 2.5 --- Evaluation for Performance --- p.23 / Chapter 2.6 --- Machine Translation between Chinese and English --- p.25 / Chapter 2.7 --- Problems and Issues in MTCML --- p.29 / Chapter 2.7.1 --- Linguistic Characteristics of the Corpus --- p.29 / Chapter 2.7.2 --- Strategies for problems in MTCML --- p.31 / Chapter 3 --- Segmentation --- p.34 / Chapter 3.1 --- Strategies for Segmentation --- p.34 / Chapter 3.2 --- Segmentation algorithm in MTCML --- p.36 / Chapter 4 --- Tagging --- p.40 / Chapter 4.1 --- Objective --- p.40 / Chapter 4.2 --- Approach --- p.41 / Chapter 4.2.1 --- Category and Sub-category --- p.41 / Chapter 4.2.2 --- Tools --- p.45 / Chapter 5 --- Analysis --- p.48 / Chapter 5.1 --- Linguistic Study of the Corpus --- p.48 / Chapter 5.1.1 --- Imperative Sentences --- p.49 / Chapter 5.1.2 --- Elliptical Sentences --- p.50 / Chapter 5.1.3 --- Inverted Sentences --- p.52 / Chapter 5.1.4 --- Voice and Tense --- p.53 / Chapter 5.1.5 --- Vocabulary --- p.54 / Chapter 5.2 --- Pattern Extraction --- p.54 / Chapter 5.3 --- Pattern Reduction --- p.56 / Chapter 5.3.1 --- Case Study --- p.56 / Chapter 5.3.2 --- Syntactic Rules --- p.61 / Chapter 5.4 --- Disambiguation --- p.62 / Chapter 5.4.1 --- Category Ambiguity --- p.63 / Chapter 5.4.2 --- Structural Ambiguity --- p.65 / Chapter 6 --- Transfer --- p.68 / Chapter 6.1 --- Principle of Transfer --- p.68 / Chapter 6.2 --- Extraction of Templates --- p.71 / Chapter 6.2.1 --- Similarity Comparison --- p.72 / Chapter 6.2.2 --- Algorithm --- p.74 / Chapter 6.3 --- Classification of Templates --- p.76 / Chapter 6.3.1 --- Classification --- p.76 / Chapter 6.3.2 --- A Class-based Filter --- p.79 / Chapter 6.4 --- Transfer Rule-base --- p.80 / Chapter 6.4.1 --- Transfer Rules --- p.81 / Chapter 6.4.2 --- Rule Matching --- p.84 / Chapter 6.5 --- Chapter Summary --- p.85 / Chapter 7 --- Generation --- p.87 / Chapter 7.1 --- Sentence Generation --- p.87 / Chapter 7.2 --- Disambiguation of Homographs --- p.90 / Chapter 7.3 --- Sentence Polishing --- p.91 / Chapter 8 --- System Implementation --- p.95 / Chapter 8.1 --- Corpus --- p.95 / Chapter 8.2 --- Dictionaries and Lexicons --- p.97 / Chapter 8.3 --- Reduction Rules --- p.100 / Chapter 8.4 --- Transfer Rules --- p.102 / Chapter 8.5 --- Efficiency of the System --- p.104 / Chapter 8.6 --- Case Study --- p.105 / Chapter 8.6.1 --- Sample Result and Assessment --- p.105 / Chapter 8.6.2 --- Results of Segmentation and Tagging --- p.107 / Chapter 8.6.3 --- Results of Analysis --- p.108 / Chapter 8.6.4 --- Results of Transfer --- p.110 / Chapter 8.6.5 --- Results of Generation --- p.110 / Chapter 9 --- Conclusion --- p.112 / Bibliography --- p.117 / Chapter A --- Programmer's Guide --- p.121 / Chapter B --- Translation Instances --- p.125