Liu Hon-lung. / Title also in Chinese characters. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves [58-59]). / Chapter 1. --- Introduction --- p.1 / Chapter 2. --- "Word Segmentation and Part-of-Speech Tagging: Techniques, Current Researches and The Embraced Problems" --- p.6 / Chapter 2.1. --- Various Methods on Word Segmentation and Part-of-Speech Tagging --- p.6 / Chapter 2.2. --- Current Researches on Word Segmentation and Part-of-Speech Tagging --- p.9 / Chapter 2.3. --- Embraced Problems in Word Segmentation and Part-of-Speech Tagging --- p.9 / Chapter 3. --- Branch-and-Bound Algorithm for Combinational Optimization of the Probabilistic Scoring Function --- p.15 / Chapter 3.1. --- Definition of Word Segmentation and Part-of-Speech Tagging --- p.15 / Chapter 3.2. --- Framework --- p.17 / Chapter 3.3. --- "Weight Assignment, Intermediate Score Computation & Optimization" --- p.20 / Chapter 4. --- Implementation Issues of the Proposed Word Segmentation and Part-of-Speech Tagging System --- p.26 / Chapter 4.1. --- Design of System Dictionary and Data Structure --- p.30 / Chapter 4.2. --- Training Process --- p.33 / Chapter 4.3. --- Tagging Process --- p.35 / Chapter 4.4. --- Tagging Samples of the Word Segmentation & Part-of-Speech Tagging System --- p.39 / Chapter 5. --- Experiments on the Proposed Word Segmentation and Part-Of-Speech Tagging System --- p.41 / Chapter 5.1. --- Closed Test --- p.41 / Chapter 5.2. --- Open Test --- p.42 / Chapter 6. --- Testing and Statistics --- p.43 / Chapter 7. --- Conclusions and Discussions --- p.47 / References / Appendices / Appendix A: sysdict.tag Sample / Appendix B: econ.tag Sample / Appendix C: open. tag Sample / Appendix D:漢語分詞及詞性標注系統for Windows / Appendix E: Neural Network

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

University of Macau / Faculty of Social Sciences and Humanities / Department of English

Li Kar Wing. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 88-96). / Abstracts in English and Chinese. / ABSTRACT --- p.i / ACKNOWLEDGEMENTS --- p.v / LIST OF TABLES --- p.viii / LIST OF FIGURES --- p.ix / CHAPTERS / Chapter 1. --- INTRODUCTION --- p.1 / Chapter 1.1 --- Application of corpus-based techniques --- p.2 / Chapter 1.1.1 --- Machine Translation (MT) --- p.2 / Chapter 1.1.1.1 --- Linguistic --- p.3 / Chapter 1.1.1.2 --- Statistical --- p.4 / Chapter 1.1.1.3 --- Lexicon construction --- p.4 / Chapter 1.1.2 --- Cross-lingual Information Retrieval (CLIR) --- p.6 / Chapter 1.1.2.1 --- Controlled vocabulary --- p.6 / Chapter 1.1.2.2 --- Free text --- p.7 / Chapter 1.1.2.3 --- Application corpus-based approach in CLIR --- p.9 / Chapter 1.2 --- Overview of linguistic resources --- p.10 / Chapter 1.3 --- Written language corpora --- p.12 / Chapter 1.3.1 --- Types of corpora --- p.13 / Chapter 1.3.2 --- Limitation of comparable corpora --- p.16 / Chapter 1.4 --- Outline of the dissertation --- p.17 / Chapter 2. --- LITERATURE REVIEW --- p.19 / Chapter 2.1 --- Research in automatic corpus construction --- p.20 / Chapter 2.2 --- Research in translation alignment --- p.25 / Chapter 2.2.1 --- Sentence alignment --- p.27 / Chapter 2.2.2 --- Word alignment --- p.28 / Chapter 2.3 --- Research in alignment of sequences --- p.33 / Chapter 3. --- ALIGNMENT AT WORD LEVEL AND CHARACTER LEVEL --- p.35 / Chapter 3.1 --- Title alignment --- p.35 / Chapter 3.1.1 --- Lexical features --- p.37 / Chapter 3.1.2 --- Grammatical features --- p.40 / Chapter 3.1.3 --- The English/Chinese alignment model --- p.41 / Chapter 3.2 --- Alignment at word level and character level --- p.42 / Chapter 3.2.1 --- Alignment at word level --- p.42 / Chapter 3.2.2 --- Alignment at character level: Longest matching --- p.44 / Chapter 3.2.3 --- Longest common subsequence(LCS) --- p.46 / Chapter 3.2.4 --- Applying LCS in the English/Chinese alignment model --- p.48 / Chapter 3.3 --- Reduce overlapping ambiguity --- p.52 / Chapter 3.3.1 --- Edit distance --- p.52 / Chapter 3.3.2 --- Overlapping in the algorithm model --- p.54 / Chapter 4. --- ALIGNMENT AT TITLE LEVEL --- p.59 / Chapter 4.1 --- Review of score functions --- p.59 / Chapter 4.2 --- The Score function --- p.60 / Chapter 4.2.1 --- (C matches E) and (E matches C) --- p.60 / Chapter 4.2.2 --- Length similarity --- p.63 / Chapter 5. --- EXPERIMENTAL RESULTS --- p.69 / Chapter 5.1 --- Hong Kong government press release articles --- p.69 / Chapter 5.2 --- Hang Seng Bank economic monthly reports --- p.76 / Chapter 5.3 --- Hang Seng Bank press release articles --- p.78 / Chapter 5.4 --- Hang Seng Bank speech articles --- p.81 / Chapter 5.5 --- Quality of the collections and future work --- p.84 / Chapter 6. --- CONCLUSION --- p.87 / Bibliography