Lo Sau-Han Silvia. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 137-143). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Definition of a summary --- p.2 / Chapter 1.2 --- Definition of text summarization --- p.3 / Chapter 1.3 --- Previous work --- p.4 / Chapter 1.3.1 --- Extract-based text summarization --- p.5 / Chapter 1.3.2 --- Abstract-based text summarization --- p.8 / Chapter 1.3.3 --- Sophisticated text summarization --- p.9 / Chapter 1.4 --- Summarization evaluation methods --- p.10 / Chapter 1.4.1 --- Intrinsic evaluation --- p.10 / Chapter 1.4.2 --- Extrinsic evaluation --- p.11 / Chapter 1.4.3 --- The TIPSTER SUMMAC text summarization evaluation --- p.11 / Chapter 1.4.4 --- Text Summarization Challenge (TSC) --- p.13 / Chapter 1.5 --- Research contributions --- p.14 / Chapter 1.5.1 --- Text summarization based on thematic term approach --- p.14 / Chapter 1.5.2 --- Bilingual news summarization based on an event-driven approach --- p.15 / Chapter 1.6 --- Thesis organization --- p.16 / Chapter 2 --- Text Summarization based on a Thematic Term Approach --- p.17 / Chapter 2.1 --- System overview --- p.18 / Chapter 2.2 --- Document preprocessor --- p.20 / Chapter 2.2.1 --- English corpus --- p.20 / Chapter 2.2.2 --- English corpus preprocessor --- p.22 / Chapter 2.2.3 --- Chinese corpus --- p.23 / Chapter 2.2.4 --- Chinese corpus preprocessor --- p.24 / Chapter 2.3 --- Corpus thematic term extractor --- p.24 / Chapter 2.4 --- Article thematic term extractor --- p.26 / Chapter 2.5 --- Sentence score generator --- p.29 / Chapter 2.6 --- Chapter summary --- p.30 / Chapter 3 --- Evaluation for Summarization using the Thematic Term Ap- proach --- p.32 / Chapter 3.1 --- Content-based similarity measure --- p.33 / Chapter 3.2 --- Experiments using content-based similarity measure --- p.36 / Chapter 3.2.1 --- English corpus and parameter training --- p.36 / Chapter 3.2.2 --- Experimental results using content-based similarity mea- sure --- p.38 / Chapter 3.3 --- Average inverse rank (AIR) method --- p.59 / Chapter 3.4 --- Experiments using average inverse rank method --- p.60 / Chapter 3.4.1 --- Corpora and parameter training --- p.61 / Chapter 3.4.2 --- Experimental results using AIR method --- p.62 / Chapter 3.5 --- Comparison between the content-based similarity measure and the average inverse rank method --- p.69 / Chapter 3.6 --- Chapter summary --- p.73 / Chapter 4 --- Bilingual Event-Driven News Summarization --- p.74 / Chapter 4.1 --- Corpora --- p.75 / Chapter 4.2 --- Topic and event definitions --- p.76 / Chapter 4.3 --- Architecture of bilingual event-driven news summarization sys- tem --- p.77 / Chapter 4.4 --- Bilingual event-driven approach summarization --- p.80 / Chapter 4.4.1 --- Dictionary-based term translation applying on English news articles --- p.80 / Chapter 4.4.2 --- Preprocessing for Chinese news articles --- p.89 / Chapter 4.4.3 --- Event clusters generation --- p.89 / Chapter 4.4.4 --- Cluster selection and summary generation --- p.96 / Chapter 4.5 --- Evaluation for summarization based on event-driven approach --- p.101 / Chapter 4.6 --- Experimental results on event-driven summarization --- p.103 / Chapter 4.6.1 --- Experimental settings --- p.103 / Chapter 4.6.2 --- Results and analysis --- p.105 / Chapter 4.7 --- Chapter summary --- p.113 / Chapter 5 --- Applying Event-Driven Summarization to a Parallel Corpus --- p.114 / Chapter 5.1 --- Parallel corpus --- p.115 / Chapter 5.2 --- Parallel documents preparation --- p.116 / Chapter 5.3 --- Evaluation methods for the event-driven summaries generated from the parallel corpus --- p.118 / Chapter 5.4 --- Experimental results and analysis --- p.121 / Chapter 5.4.1 --- Experimental settings --- p.121 / Chapter 5.4.2 --- Results and analysis --- p.123 / Chapter 5.5 --- Chapter summary --- p.132 / Chapter 6 --- Conclusions and Future Work --- p.133 / Chapter 6.1 --- Conclusions --- p.133 / Chapter 6.2 --- Future work --- p.135 / Bibliography --- p.137 / Chapter A --- English Stop Word List --- p.144 / Chapter B --- Chinese Stop Word List --- p.149 / Chapter C --- Event List Items on the Corpora --- p.151 / Chapter C.1 --- "Event list items for the topic ""Upcoming Philippine election""" --- p.151 / Chapter C.2 --- "Event list items for the topic ""German train derail"" " --- p.153 / Chapter C.3 --- "Event list items for the topic ""Electronic service delivery (ESD) scheme"" " --- p.154 / Chapter D --- The sample of an English article (9505001.xml). --- p.156

Wang Fu Lee. / "August 2003." / Thesis (Ph.D.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (p. 256-281). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Mode of access: World Wide Web. / Abstracts in English and Chinese.

This thesis addresses the problem of accounting for morphological alternation within Natural Language Processing. It proposes an approach to morphology which is based on phonological concepts, in particular the syllable, in contrast to morpheme-based approaches which have standardly been used by both NLP and linguistics. It is argued that morpheme-based approaches, within both linguistics and NLP, grew out of the apparently purely affixational morphology of European languages, and especially English, but are less appropriate for non-affixational languages such as Arabic. Indeed, it is claimed that even accounts of those European languages miss important linguistic generalizations by ignoring more phonologically based alternations, such as umlaut in German and ablaut in English. To justify this approach, we present a wide range of data from languages as diverse as German and Rotuman. A formal language, MOLUSe, is described, which allows for the definition of declarative mappings between syllable-sequences, and accounts of non-trivial fragments of the inflectional morphology of English, Arabic and Sanskrit are presented, to demonstrate the capabilities of the language. A semantics for the language is defined, and the implementation of an interpreter is described. The thesis discusses theoretical (linguistic) issues, as well as implementational issues involved in the incorporation of MOLUSC into a larger lexicon system. The approach is contrasted with previous work in computational morphology, in particular finite-state morphology, and its relation to other work in the fields of morphology and phonology is also discussed.

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Thesis (M.S.)--Rochester Institute of Technology, 1985. / Typescript. Includes bibliographical references (leaves 77-80).