Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/122741| DC Field | Value | Language |
|---|---|---|
| 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 | 巫孟宸 | zh_TW |
| dc.contributor.author | Wu, Meng-Chen | en_US |
| dc.creator | 巫孟宸 | zh_TW |
| dc.creator | Wu, Meng-Chen | en_US |
| dc.date | 2019 | en_US |
| dc.date.accessioned | 2019-04-01T06:34:51Z | - |
| dc.date.available | 2019-04-01T06:34:51Z | - |
| dc.date.issued | 2019-04-01T06:34:51Z | - |
| dc.identifier | G0104555004 | en_US |
| dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/122741 | - |
| dc.description | 碩士 | zh_TW |
| dc.description | 國立政治大學 | zh_TW |
| dc.description | 語言學研究所 | zh_TW |
| dc.description | 104555004 | zh_TW |
| dc.description.abstract | 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 | 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 12\n1 Introduction 13\n2 Literature Review 18\n2.1 Semantic Prosody 18\n2.2 Context-dependent Semantic Prosody 20\n2.3 Semantic Prosody of CAUSE 21\n2.3.1 Significant Collocate Analysis 21\n2.3.2 Concordance Line Analysis 22\n2.4 Semantic Network Analysis 24\n3 Methodology 27\n3.1 Data Collection and Preprocessing 28\n3.1.1 Data Source 28\n3.1.2 Data Preprocessing 28\n3.2 Automatic Concordance Line Analysis 31\n3.2.1 ANTUSD 31\n3.2.2 Judgement of Evaluative Meanings of Concordances and the SP of a Node Word 34\n3.3 Semantic Network Analysis 37\n3.3.1 Attracted Collocates Extraction 37\n3.3.2 Semantic Network Construction 41\n4 Results 45\n4.1 Semantic Prosody of Chansheng 45\n4.1.1 Concordance Semantic Prosody Analysis 45\n4.1.2 Network Analysis 48\n4.2 Semantic Prosody of Niangcheng 63\n4.2.1 Concordance Semantic Prosody Analysis 63\n4.2.2 Network Analysis 65\n4.3 Semantic Prosody of Cucheng 71\n4.3.1 Concordance Semantic Prosody Analysis 71\n4.3.2 Network Analysis 73\n4.4 Internal Summary 74\n5. Discussion 77\n5.1 Topics Triggering Positive SP 79\n5.2 Topics Triggering Negative SP 86\n5.3 Topics Triggering Positive and Negative SP 94\n6. Conclusion 98\nReferences 101\nAppendix 106 | zh_TW |
| dc.format.extent | 3125288 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.source.uri | http://thesis.lib.nccu.edu.tw/record/#G0104555004 | en_US |
| dc.subject | 語義韻 | zh_TW |
| dc.subject | 語義偏好 | zh_TW |
| dc.subject | 主題 | zh_TW |
| dc.subject | 規則化評估 | zh_TW |
| dc.subject | 語義網路分析 | zh_TW |
| dc.subject | Semantic prosody | en_US |
| dc.subject | Semantic preference | en_US |
| dc.subject | Topic | en_US |
| dc.subject | Rule-based evaluation | en_US |
| dc.subject | Semantic network analysis | en_US |
| dc.title | 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 | 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 | thesis | en_US |
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| dc.identifier.doi | 10.6814/THE.NCCU.GIL.001.2019.A07 | en_US |
| item.fulltext | With Fulltext | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_46ec | - |
| item.cerifentitytype | Publications | - |
| item.openairetype | thesis | - |
| item.grantfulltext | open | - |
| Appears in Collections: | 學位論文 | |
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| 500401.pdf | 3.05 MB | Adobe PDF2 | View/Open |
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