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題名 以量化語料庫方法研究中文“導致”的三個近義詞在不同主題下之語義韻
A study of semantic prosody of three near-synonyms of cause in Mandarin Chinese under different topics: A quantitative corpus-based perspective作者 巫孟宸
Wu, Meng-Chen貢獻者 陳正賢<br>萬依萍
Chen, Cheng-Hsien<br>Wan, I-Ping
巫孟宸
Wu, Meng-Chen關鍵詞 語義韻
語義偏好
主題
規則化評估
語義網路分析
Semantic prosody
Semantic preference
Topic
Rule-based evaluation
Semantic network analysis日期 2019 上傳時間 1-四月-2019 14:34:51 (UTC+8) 摘要 本論文之主要目的為探討文本主題如何影響一個詞彙的語義韻 (semantic prosody)。主題在此定義為在新聞類文體中不同類別的文章，其涵蓋文本的範圍小於語域 (register)之範圍。我們查驗了一個混合語義韻之詞 (產生)，與兩個強語義韻之詞 (釀成、促成)在蘋果日報中不同主題下的語義韻分布。我們以規則化的詞語所引列方法來決定這三個詞的語義韻分布，並運用語義網路分析來探尋它們的典型語意場 (semantic field)。研究結果指出，主題對產生的語義韻有中等強烈的影響，但對釀成與促成反而影響程度不大，因此建議了詞彙的語義韻之主題依賴。我們的分析結果指出，新聞文章下的某一主題之內容可能是強化正/負語義韻趨勢的來源，同時揭示了主題下某一詞彙的常規用法。
The objective of this study is to investigate how the semantic prosody (SP) of a lexical item may be mediated by the topic of the texts. Topic is defined as different categories of articles in news genre, covering a smaller scope of texts than register. In particular, we examine the SP distributions of three near synonyms: a mixed-SP node word, i.e., chansheng, and two strong-SP node words, i.e., niangcheng and cucheng, under different topics in the self-collected Apple Daily News corpus. We determine their SP distributions via a rule-based concordance line analysis on the Apple Daily News corpus and utilize semantic network analysis to further discover their prototypical semantic fields. The results indicate that topic has moderately strong effect on chansheng, a mixed-SP node word, but weak effect on niangcheng and cucheng, strong-SP node words, suggesting the topic-dependency of the lexical SP. Our analysis suggests that the subject matters of the news articles under a given topic may be the source that intensifies the positive/negative SP tendency of a node word, and also reveals the conventionalized usage of the node word under the topic.參考文獻 Almende, B.V., Benoit, Thieurmel, & Titouan, Robert. (2018). visNetwork: Network visualization using’vis. js’ library. R package version 2.0.5. Retrieved from https://CRAN.R-project.org/package=visNetworkBednarek, Monika. (2008). Semantic preference and semantic prosody re-examined. Corpus Linguistics and Linguistic Theory, 4, 119-139. doi:10.1515/CLLT.2008.006Blei, David M, Ng, Andrew Y, & Jordan, Michael I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022. doi:10.1162/jmlr.2003.3.4-5.993Cohen, Stanley, & Young, Jock. (1981). The manufacture of news: Social problems, deviance and the mass media. Newbury Park, CA: Sage Pubns.Ellis, Nick C, & Ogden, Dave C. (2017). Thinking about multiword constructions: Usage‐based approaches to acquisition and processing. Topics in Cognitive Science, 9, 604-620. doi:10.1111/tops.12256Ellis, Nick C, Römer, Ute, & O`Donnell, Matthew Brook. (2016). Usage-based approaches to language acquisition and processing: Cognitive and corpus investigations of construction grammar. Hoboken, NJ: John Wiley & Sons Limited.Evert, Stefan. (2008). Corpora and collocations. In A. Lüdeling & M. Kytö (Eds.), Corpus linguistics. An international handbook (Vol. 2, pp. 1212-1248). Berlin, Germany: de Gruyter.Freeman, Linton C. (1977). A set of measures of centrality based on betweenness. Sociometry, 35-41. doi:10.2307/3033543Gablasova, Dana , Brezina , Vaclav, & McEnery, Tony. (2017). Collocations in corpus‐based language learning research: Identifying, comparing, and interpreting the evidence. Language Learning, 67, 155-179. doi:10.1111/lang.12225Gries, Stefan Th. (2013). 50-something years of work on collocations. International Journal of Corpus Linguistics, 18, 137-166. doi:10.1075/ijcl.18.1.09griGriffiths, Thomas L, & Steyvers, Mark. (2004). Finding scientific topics. Proceedings of the National academy of Sciences, 101, 5228-5235. doi:10.1073/pnas.0307752101Halliday, M.A.K., & Hasan, Ruqaiya. (1989). Language, context, and text: Aspects of language in a social-semiotic perspective. Oxford, UK: Oxford University Press.Hoey, Michael. (1991). Pattern of lexis in text. Oxford, UK: Oxford University Press.Huang, Chu-Ren, & Hsieh, Shu-Kai. (2010). Infrastructure for cross-lingual knowledge representation-towards multilingualism in linguistic studies. Taiwan NSC-granted Research Project (NSC 96-2411-H-003-061-MY3).Huang, Ting-Hao, Chen, Yun-Nung, & Kong, Lingpeng. (2015). Acbima: Advanced Chinese bi-character word morphological analyzer. Paper presented at the Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing.Huang, Ting-Hao, Ku, Lun-Wei, & Chen, Hsin-Hsi. (2010). Predicting morphological types of Chinese bi-character words by machine learning approaches. Paper presented at the Proceedings of LREC.Hunston, Susan. (1995). A corpus study of some English verbs of attribution. Functions of Language, 2, 133-158. doi:10.1075/fol.2.2.02hunHunston, Susan. (2004). Counting the uncountable: problems of identifying evaluation in a text and in a corpus. In A. Partington, J. Morley, & L. Haarman (Eds.), Corpora and Discourse (Vol. 9, pp. 157-188). Bern, CH: Peter Lang.Hunston, Susan. (2007). Semantic prosody revisited. International Journal of Corpus Linguistics, 12, 249-268. doi:10.1075/ijcl.12.2.09hunKhedr, Ayman E, Salama, S.E., & Yaseen, Nagwa. (2017). Predicting stock market behavior using data mining technique and news sentiment analysis. International Journal of Intelligent Systems and Applications, 9, 22. doi:10.5815/ijisa.2017.07.03Krestel, Ralf, Fankhauser, Peter, & Nejdl, Wolfgang. (2009). Latent dirichlet allocation for tag recommendation. Paper presented at the Proceedings of the third ACM conference on Recommender systems.Ku, Lun-Wei, Liang, Yu-Ting, & Chen, Hsin-Hsi. (2006). Opinion extraction, summarization and tracking in news and blog corpora. Paper presented at the Proceedings of AAAI.Li, Meixia, & Jiao, Aihui. (2017). The study of semantic prosody of Chinese logical resultative formulae: A corpus-assisted discourse analysis approach. GSTF Journal of Law and Social Sciences (JLSS), 2.Louw, Bill. (1993). Irony in the text or insincerity in the writer? The diagnostic potential of semantic prosodies. Text and technology: In honour of John Sinclair, 240, 251.Louw, Bill. (2000). Contextual prosodic theory: Bringing semantic prosodies to life. Words in context: A tribute to John Sinclair on his retirement, 48-94.Manning, Christopher D., & Schütze, Hinrich. (1999). Foundations of statistical natural language processing. Cambridge, MA: MIT Press.Morley, John, & Partington, Alan. (2009). A few frequently asked questions about semantic—or evaluative—prosody. International Journal of Corpus Linguistics, 14, 139-158. doi:10.1075/ijcl.14.2.01morO`Halloran, Kieran. (2007). Critical discourse analysis and the corpus-informed interpretation of metaphor at the register level. Applied Linguistics, 28, 1-24. doi:10.1093/applin/aml046Pang, Bo, & Lee, Lillian. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2, 1-135. doi:10.1561/1500000011Partington, Alan. (1998). Patterns and meanings: Using corpora for English language research and teaching (Vol. 2). Amsterdam and Philadelphia: John Benjamins.Partington, Alan. (2004). "Utterly content in each other`s company": Semantic prosody and semantic preference. International Journal of Corpus Linguistics, 9, 131-156. doi:10.1075/ijcl.9.1.07parPartington, Alan. (2017). Evaluative clash, evaluative cohesion and how we actually read evaluation in texts. Journal of Pragmatics, 117, 190-203. doi:10.1016/j.pragma.2017.06.008Pennington, Jeffrey, Socher, Richard, & Manning, Christopher. (2014). Glove: Global vectors for word representation. Paper presented at the Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP).Rosch, Eleanor. (1975). Cognitive representations of semantic categories. Journal of Experimental Psychology. General, 104, 192. doi:10.1037/0096-3445.104.3.192Sinclair, John. (1991). Corpus, concordance, collocation. London, UK: Oxford University Press.Sinclair, John. (2004). The search for units of meaning Trust the Text (pp. 34-58). London, UK: Routledge.Stefanowitsch, Anatol, & Gries, Stefan Th. (2003). Collostructions: Investigating the interaction of words and constructions. International Journal of Corpus Linguistics, 8, 209-243. doi:10.1075/ijcl.8.2.03steStubbs, Michael. (1995). Collocations and semantic profiles: On the cause of the trouble with quantitative studies. Functions of Language, 2, 23-55. doi:10.1075/fol.2.1.03stuStubbs, Michael. (2001a). On inference theories and code theories: Corpus evidence for semantic schemas. Text - Interdisciplinary Journal for the Study of Discourse, 21, 437-465. doi:10.1515/text.2001.007Stubbs, Michael. (2001b). Words and phrases: Corpus studies of lexical semantics. Oxford, UK: Blackwell.Wang, Shih-Ming, & Ku, Lun-Wei. (2016). ANTUSD: A large Chinese sentiment dictionary. Paper presented at the LREC.Wei, Naixing, & Li, Xiaohong. (2014). Exploring semantic preference and semantic prosody across English and Chinese: Their roles for cross-linguistic equivalence. Corpus Linguistics and Linguistic Theory, 10, 103-138. doi:10.1515/cllt-2013-0018Xiao, Richard, & McEnery, Tony. (2006). Collocation, semantic prosody, and near synonymy: A cross-linguistic perspective. Applied Linguistics, 27, 103-129. doi:10.1093/applin/ami045 描述 碩士
國立政治大學
語言學研究所
104555004資料來源 http://thesis.lib.nccu.edu.tw/record/#G0104555004 資料類型 thesis dc.contributor.advisor 陳正賢<br>萬依萍 zh_TW dc.contributor.advisor Chen, Cheng-Hsien<br>Wan, I-Ping en_US dc.contributor.author (作者) 巫孟宸 zh_TW dc.contributor.author (作者) Wu, Meng-Chen en_US dc.creator (作者) 巫孟宸 zh_TW dc.creator (作者) Wu, Meng-Chen en_US dc.date (日期) 2019 en_US dc.date.accessioned 1-四月-2019 14:34:51 (UTC+8) - dc.date.available 1-四月-2019 14:34:51 (UTC+8) - dc.date.issued (上傳時間) 1-四月-2019 14:34:51 (UTC+8) - dc.identifier (其他 識別碼) G0104555004 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/122741 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 語言學研究所 zh_TW dc.description (描述) 104555004 zh_TW dc.description.abstract (摘要) 本論文之主要目的為探討文本主題如何影響一個詞彙的語義韻 (semantic prosody)。主題在此定義為在新聞類文體中不同類別的文章，其涵蓋文本的範圍小於語域 (register)之範圍。我們查驗了一個混合語義韻之詞 (產生)，與兩個強語義韻之詞 (釀成、促成)在蘋果日報中不同主題下的語義韻分布。我們以規則化的詞語所引列方法來決定這三個詞的語義韻分布，並運用語義網路分析來探尋它們的典型語意場 (semantic field)。研究結果指出，主題對產生的語義韻有中等強烈的影響，但對釀成與促成反而影響程度不大，因此建議了詞彙的語義韻之主題依賴。我們的分析結果指出，新聞文章下的某一主題之內容可能是強化正/負語義韻趨勢的來源，同時揭示了主題下某一詞彙的常規用法。 zh_TW dc.description.abstract (摘要) The objective of this study is to investigate how the semantic prosody (SP) of a lexical item may be mediated by the topic of the texts. Topic is defined as different categories of articles in news genre, covering a smaller scope of texts than register. In particular, we examine the SP distributions of three near synonyms: a mixed-SP node word, i.e., chansheng, and two strong-SP node words, i.e., niangcheng and cucheng, under different topics in the self-collected Apple Daily News corpus. We determine their SP distributions via a rule-based concordance line analysis on the Apple Daily News corpus and utilize semantic network analysis to further discover their prototypical semantic fields. The results indicate that topic has moderately strong effect on chansheng, a mixed-SP node word, but weak effect on niangcheng and cucheng, strong-SP node words, suggesting the topic-dependency of the lexical SP. Our analysis suggests that the subject matters of the news articles under a given topic may be the source that intensifies the positive/negative SP tendency of a node word, and also reveals the conventionalized usage of the node word under the topic. en_US dc.description.tableofcontents Abstract 121 Introduction 132 Literature Review 182.1 Semantic Prosody 182.2 Context-dependent Semantic Prosody 202.3 Semantic Prosody of CAUSE 212.3.1 Significant Collocate Analysis 212.3.2 Concordance Line Analysis 222.4 Semantic Network Analysis 243 Methodology 273.1 Data Collection and Preprocessing 283.1.1 Data Source 283.1.2 Data Preprocessing 283.2 Automatic Concordance Line Analysis 313.2.1 ANTUSD 313.2.2 Judgement of Evaluative Meanings of Concordances and the SP of a Node Word 343.3 Semantic Network Analysis 373.3.1 Attracted Collocates Extraction 373.3.2 Semantic Network Construction 414 Results 454.1 Semantic Prosody of Chansheng 454.1.1 Concordance Semantic Prosody Analysis 454.1.2 Network Analysis 484.2 Semantic Prosody of Niangcheng 634.2.1 Concordance Semantic Prosody Analysis 634.2.2 Network Analysis 654.3 Semantic Prosody of Cucheng 714.3.1 Concordance Semantic Prosody Analysis 714.3.2 Network Analysis 734.4 Internal Summary 745. Discussion 775.1 Topics Triggering Positive SP 795.2 Topics Triggering Negative SP 865.3 Topics Triggering Positive and Negative SP 946. Conclusion 98References 101Appendix 106 zh_TW dc.format.extent 3125288 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0104555004 en_US dc.subject (關鍵詞) 語義韻 zh_TW dc.subject (關鍵詞) 語義偏好 zh_TW dc.subject (關鍵詞) 主題 zh_TW dc.subject (關鍵詞) 規則化評估 zh_TW dc.subject (關鍵詞) 語義網路分析 zh_TW dc.subject (關鍵詞) Semantic prosody en_US dc.subject (關鍵詞) Semantic preference en_US dc.subject (關鍵詞) Topic en_US dc.subject (關鍵詞) Rule-based evaluation en_US dc.subject (關鍵詞) Semantic network analysis en_US dc.title (題名) 以量化語料庫方法研究中文“導致”的三個近義詞在不同主題下之語義韻 zh_TW dc.title (題名) A study of semantic prosody of three near-synonyms of cause in Mandarin Chinese under different topics: A quantitative corpus-based perspective en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Almende, B.V., Benoit, Thieurmel, & Titouan, Robert. (2018). visNetwork: Network visualization using’vis. js’ library. R package version 2.0.5. Retrieved from https://CRAN.R-project.org/package=visNetworkBednarek, Monika. (2008). Semantic preference and semantic prosody re-examined. Corpus Linguistics and Linguistic Theory, 4, 119-139. doi:10.1515/CLLT.2008.006Blei, David M, Ng, Andrew Y, & Jordan, Michael I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022. doi:10.1162/jmlr.2003.3.4-5.993Cohen, Stanley, & Young, Jock. (1981). The manufacture of news: Social problems, deviance and the mass media. Newbury Park, CA: Sage Pubns.Ellis, Nick C, & Ogden, Dave C. (2017). Thinking about multiword constructions: Usage‐based approaches to acquisition and processing. Topics in Cognitive Science, 9, 604-620. doi:10.1111/tops.12256Ellis, Nick C, Römer, Ute, & O`Donnell, Matthew Brook. (2016). Usage-based approaches to language acquisition and processing: Cognitive and corpus investigations of construction grammar. Hoboken, NJ: John Wiley & Sons Limited.Evert, Stefan. (2008). Corpora and collocations. In A. Lüdeling & M. Kytö (Eds.), Corpus linguistics. An international handbook (Vol. 2, pp. 1212-1248). Berlin, Germany: de Gruyter.Freeman, Linton C. (1977). A set of measures of centrality based on betweenness. Sociometry, 35-41. doi:10.2307/3033543Gablasova, Dana , Brezina , Vaclav, & McEnery, Tony. (2017). Collocations in corpus‐based language learning research: Identifying, comparing, and interpreting the evidence. Language Learning, 67, 155-179. doi:10.1111/lang.12225Gries, Stefan Th. (2013). 50-something years of work on collocations. International Journal of Corpus Linguistics, 18, 137-166. doi:10.1075/ijcl.18.1.09griGriffiths, Thomas L, & Steyvers, Mark. (2004). Finding scientific topics. Proceedings of the National academy of Sciences, 101, 5228-5235. doi:10.1073/pnas.0307752101Halliday, M.A.K., & Hasan, Ruqaiya. (1989). Language, context, and text: Aspects of language in a social-semiotic perspective. Oxford, UK: Oxford University Press.Hoey, Michael. (1991). Pattern of lexis in text. Oxford, UK: Oxford University Press.Huang, Chu-Ren, & Hsieh, Shu-Kai. (2010). Infrastructure for cross-lingual knowledge representation-towards multilingualism in linguistic studies. Taiwan NSC-granted Research Project (NSC 96-2411-H-003-061-MY3).Huang, Ting-Hao, Chen, Yun-Nung, & Kong, Lingpeng. (2015). Acbima: Advanced Chinese bi-character word morphological analyzer. Paper presented at the Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing.Huang, Ting-Hao, Ku, Lun-Wei, & Chen, Hsin-Hsi. (2010). Predicting morphological types of Chinese bi-character words by machine learning approaches. Paper presented at the Proceedings of LREC.Hunston, Susan. (1995). A corpus study of some English verbs of attribution. Functions of Language, 2, 133-158. doi:10.1075/fol.2.2.02hunHunston, Susan. (2004). Counting the uncountable: problems of identifying evaluation in a text and in a corpus. In A. Partington, J. Morley, & L. Haarman (Eds.), Corpora and Discourse (Vol. 9, pp. 157-188). Bern, CH: Peter Lang.Hunston, Susan. (2007). Semantic prosody revisited. International Journal of Corpus Linguistics, 12, 249-268. doi:10.1075/ijcl.12.2.09hunKhedr, Ayman E, Salama, S.E., & Yaseen, Nagwa. (2017). Predicting stock market behavior using data mining technique and news sentiment analysis. International Journal of Intelligent Systems and Applications, 9, 22. doi:10.5815/ijisa.2017.07.03Krestel, Ralf, Fankhauser, Peter, & Nejdl, Wolfgang. (2009). Latent dirichlet allocation for tag recommendation. Paper presented at the Proceedings of the third ACM conference on Recommender systems.Ku, Lun-Wei, Liang, Yu-Ting, & Chen, Hsin-Hsi. (2006). Opinion extraction, summarization and tracking in news and blog corpora. Paper presented at the Proceedings of AAAI.Li, Meixia, & Jiao, Aihui. (2017). The study of semantic prosody of Chinese logical resultative formulae: A corpus-assisted discourse analysis approach. GSTF Journal of Law and Social Sciences (JLSS), 2.Louw, Bill. (1993). Irony in the text or insincerity in the writer? The diagnostic potential of semantic prosodies. Text and technology: In honour of John Sinclair, 240, 251.Louw, Bill. (2000). Contextual prosodic theory: Bringing semantic prosodies to life. Words in context: A tribute to John Sinclair on his retirement, 48-94.Manning, Christopher D., & Schütze, Hinrich. (1999). Foundations of statistical natural language processing. Cambridge, MA: MIT Press.Morley, John, & Partington, Alan. (2009). A few frequently asked questions about semantic—or evaluative—prosody. International Journal of Corpus Linguistics, 14, 139-158. doi:10.1075/ijcl.14.2.01morO`Halloran, Kieran. (2007). Critical discourse analysis and the corpus-informed interpretation of metaphor at the register level. Applied Linguistics, 28, 1-24. doi:10.1093/applin/aml046Pang, Bo, & Lee, Lillian. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2, 1-135. doi:10.1561/1500000011Partington, Alan. (1998). Patterns and meanings: Using corpora for English language research and teaching (Vol. 2). Amsterdam and Philadelphia: John Benjamins.Partington, Alan. (2004). "Utterly content in each other`s company": Semantic prosody and semantic preference. International Journal of Corpus Linguistics, 9, 131-156. doi:10.1075/ijcl.9.1.07parPartington, Alan. (2017). Evaluative clash, evaluative cohesion and how we actually read evaluation in texts. Journal of Pragmatics, 117, 190-203. doi:10.1016/j.pragma.2017.06.008Pennington, Jeffrey, Socher, Richard, & Manning, Christopher. (2014). Glove: Global vectors for word representation. Paper presented at the Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP).Rosch, Eleanor. (1975). Cognitive representations of semantic categories. Journal of Experimental Psychology. General, 104, 192. doi:10.1037/0096-3445.104.3.192Sinclair, John. (1991). Corpus, concordance, collocation. London, UK: Oxford University Press.Sinclair, John. (2004). The search for units of meaning Trust the Text (pp. 34-58). London, UK: Routledge.Stefanowitsch, Anatol, & Gries, Stefan Th. (2003). Collostructions: Investigating the interaction of words and constructions. International Journal of Corpus Linguistics, 8, 209-243. doi:10.1075/ijcl.8.2.03steStubbs, Michael. (1995). Collocations and semantic profiles: On the cause of the trouble with quantitative studies. Functions of Language, 2, 23-55. doi:10.1075/fol.2.1.03stuStubbs, Michael. (2001a). On inference theories and code theories: Corpus evidence for semantic schemas. Text - Interdisciplinary Journal for the Study of Discourse, 21, 437-465. doi:10.1515/text.2001.007Stubbs, Michael. (2001b). Words and phrases: Corpus studies of lexical semantics. Oxford, UK: Blackwell.Wang, Shih-Ming, & Ku, Lun-Wei. (2016). ANTUSD: A large Chinese sentiment dictionary. Paper presented at the LREC.Wei, Naixing, & Li, Xiaohong. (2014). Exploring semantic preference and semantic prosody across English and Chinese: Their roles for cross-linguistic equivalence. Corpus Linguistics and Linguistic Theory, 10, 103-138. doi:10.1515/cllt-2013-0018Xiao, Richard, & McEnery, Tony. (2006). Collocation, semantic prosody, and near synonymy: A cross-linguistic perspective. Applied Linguistics, 27, 103-129. doi:10.1093/applin/ami045 zh_TW dc.identifier.doi (DOI) 10.6814/THE.NCCU.GIL.001.2019.A07 en_US
