by Angel Suet Yi Tse. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1996. / Includes bibliographical references (leaves 126-130). / Abstract / Acknowledgements / Table of Contents / List of Tables / List of Figures / Plagiarism Declaration / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Overview --- p.1 / Chapter 1.2 --- Motivation --- p.2 / Chapter 1.3 --- Applications of NP parsing --- p.4 / Chapter 1.4 --- The Hybrid Approach of NP Partial Parsing with Rule Set Derived from de NPs --- p.5 / Chapter 1.5 --- Organization of the Thesis --- p.7 / Chapter Chapter 2 --- Related Work --- p.9 / Chapter 2.1 --- Overview --- p.9 / Chapter 2.2 --- Chinese Versus English Languages --- p.10 / Chapter 2.3 --- Traditional Versus Contemporary Parsing Approaches --- p.15 / Chapter 2.3.1 --- Linguistics-based and Corpus-based Knowledge Acquisition --- p.15 / Chapter 2.3.2 --- Basic Processing Unit --- p.16 / Chapter 2.3.3 --- Related Literature --- p.17 / Chapter 2.4 --- Sentence / Free Text Parsing --- p.18 / Chapter 2.4.1 --- Linguistics-based --- p.18 / Chapter 2.4.2 --- Corpus-based --- p.21 / Chapter 2.5 --- NP Processing --- p.22 / Chapter 2.5.1 --- NP Detection --- p.22 / Chapter 2.5.2 --- NP Partial Parsing --- p.26 / Chapter 2.6 --- Summary --- p.27 / Chapter Chapter 3 --- Knowledge Elicitation for General NP Partial Parsing from De NPs --- p.28 / Chapter 3.1 --- Overview --- p.28 / Chapter 3.2 --- Background --- p.29 / Chapter 3.3 --- Research in De Phrases --- p.33 / Chapter 3.3.1 --- Research of de Phrases in Pure Linguistics --- p.33 / Chapter 3.3.2 --- Research in de Phrases in Computational Linguistics --- p.36 / Chapter 3.4 --- Significance of De Phrases --- p.37 / Chapter 3.4.1 --- Implication to General NP Parsing --- p.37 / Chapter 3.4.2 --- Embedded Knowledge for General NP Parsing --- p.37 / Chapter 3.5 --- Summary --- p.39 / Chapter Chapter 4 --- Knowledge Acquisition Approaches for General NP Partial Parsing --- p.40 / Chapter 4.1 --- Overview --- p.40 / Chapter 4.2 --- Linguistic-based Approach --- p.41 / Chapter 4.3 --- Corpus-based Approach --- p.43 / Chapter 4.3.1 --- Generalization of NP Grammatical Patterns --- p.44 / Chapter 4.3.2 --- Pitfall of Generalization --- p.47 / Chapter 4.4 --- The Hybrid Approach --- p.47 / Chapter 4.4.1 --- Combining Strategies --- p.50 / Chapter 4.4.2 --- Merging Techniques --- p.53 / Chapter 4.5 --- CNP3- The Chinese NP Partial Parser --- p.55 / Chapter 4.5.1 --- The NP Detection and Extraction Unit (DEU) --- p.56 / Chapter 4.5.2 --- The Knowledge Acquisition Unit (KAU) --- p.56 / Chapter 4.5.3 --- The Parsing Unit (PU) --- p.57 / Chapter 4.5.4 --- Internal Representation of Chinese NPs and Grammar Rules --- p.57 / Chapter 4.6 --- Summary --- p.58 / Chapter Chapter 5 --- "Experiments on Linguistics-, Corpus-based and the Hybrid Approaches" --- p.60 / Chapter 5.1 --- Overview --- p.60 / Chapter 5.2 --- Objective of Experiments --- p.61 / Chapter 5.3 --- Experimental Setup --- p.62 / Chapter 5.3.1 --- The Corpora --- p.62 / Chapter 5.3.2 --- The Standard and Extended Tag Sets --- p.64 / Chapter 5.4 --- Overview of Experiments --- p.67 / Chapter 5.5 --- Evaluation of Linguistic De NP Rules (Experiment 1 A) --- p.70 / Chapter 5.5.1 --- Method --- p.71 / Chapter 5.5.2 --- Results --- p.72 / Chapter 5.5.3 --- Analysis --- p.72 / Chapter 5.6 --- Evaluation of Corpus-based Approach (Experiment IB) --- p.74 / Chapter 5.6.1 --- Method --- p.74 / Chapter 5.6.2 --- Results --- p.75 / Chapter 5.6.3 --- Analysis --- p.76 / Chapter 5.6.4 --- Generalization of NP Grammatical Patterns (Experiment 1B'） --- p.76 / Chapter 5.6.5 --- Results after Merging of Rule Sets (Experiment 1C) --- p.77 / Chapter 5.6.6 --- Error Analysis --- p.79 / Chapter 5.7 --- Phase II Evaluation: Test on General NP Parsing (Experiment 2) --- p.82 / Chapter 5.7.1 --- Method --- p.83 / Chapter 5.7.2 --- Results --- p.85 / Chapter 5.7.3 --- Error Analysis --- p.86 / Chapter 5.8 --- Summary --- p.92 / Chapter Chapter 6 --- Reliability Evaluation of the Hybrid Approach --- p.94 / Chapter 6.1 --- Overview --- p.94 / Chapter 6.2 --- Objective --- p.95 / Chapter 6.3 --- The Training and Test Corpora --- p.96 / Chapter 6.4 --- The Knowledge Base --- p.98 / Chapter 6.5 --- Convergence Sequence Tests --- p.99 / Chapter 6.5.1 --- Results of Close Convergence Tests --- p.100 / Chapter 6.5.2 --- Results of Open Convergence Tests --- p.104 / Chapter 6.5.3 --- Conclusions with Convergence Tests --- p.106 / Chapter 6.6 --- Cross Evaluation Tests --- p.106 / Chapter 6.6.1 --- Results --- p.109 / Chapter 6.6.2 --- Conclusions with Cross Evaluation Tests --- p.112 / Chapter 6.7 --- Summary --- p.113 / Chapter Chapter 7 --- Discussion and Conclusions --- p.115 / Chapter 7.1 --- Overview --- p.115 / Chapter 7.2 --- Difficulties Encountered --- p.116 / Chapter 7.2.1 --- Lack of Standard in Part-of-speech Categorization in Chinese Language --- p.116 / Chapter 7.2.2 --- Under or Over-specification of Tag Class in Tag Set --- p.118 / Chapter 7.2.3 --- Difficulty in Nominal Compound NP Analysis --- p.119 / Chapter 7.3 --- Conclusions --- p.120 / Chapter 7.4 --- Future Work --- p.122 / Chapter 7.4.1 --- Full Automation of NP Pattern Generalization --- p.122 / Chapter 7.4.2 --- Incorporation of Semantic Constraints --- p.123 / Chapter 7.4.3 --- Computational Structural Analysis of Nominal Compound NP --- p.124 / References --- p.126 / Appendix A The Extended Tag Set --- p.131 / Appendix B Linguistic Grammar Rules --- p.135 / Appendix C Generalized Grammar Rules --- p.138
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_321484 |
| Date | January 1996 |
| Contributors | Tse, Angel suet Yi., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management. |
| Publisher | Chinese University of Hong Kong |
| Source Sets | The Chinese University of Hong Kong |
| Language | English |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, ix, 144 leaves : ill. ; 30 cm. |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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