本研究以事件相關電位方法,探討中文字在進行聽覺詞彙辨識的作業中,分別受字形表徵的同音字密度多寡、以及字音-字形對應一致性的影響。首先 進行中文字的字音-字形一致性語料庫的建立,量化中文字的音形對應一致性程度。透過明確的定義並操弄中文字的音形對應一致性,以及中文字同音 字密度的特性,探討在進行中文字聽覺詞彙辨識歷程中,字形表徵屬性如何對語音辨識作業產生影響的認知歷程。實驗分為三種情境(1)同音密度低 (low HD)、(2)同音密度高/音形對應一致性高(high HD/high P-O)、 (3)同音密度高/音形對應一致性低(high HD/low P-O)。前兩項的比較為高同音字密度下的音形對應一致性效果,而後兩項的比較則為在高音形對應一致性下的同音字密度的效果。實驗一採語意判斷作業,研究結果顯示,在高同音字密度時,高音形對應一致性的字引發較大的 N400;而在高音形對應一致性時,同音字密度效果在 LPC 得到顯著的差異。反應中文字在聽 覺詞彙判斷作業上,字形可自動被激活,進而影響語音的辨識。實驗二採押 韻判斷作業,研究結果同樣發現高音形對應一致字引發較大的 N400,實但同音字密度效果性效果在判斷押韻作業上並未達顯著效果。另外,在高音形對應一致性情形下所得到的押韻效果最大,尤以同音字密度高且音形對應一致性高的情況下,押韻效果出現的時間較早。本研究結果支持雙向交互激發模型(BIAM)的假設:中文口語詞彙辨識的歷程中,也會自動激發字形訊息,而語音、字形、語意之間的對應一致性越好,口語詞彙辨識及其整體處理的效能也越高。

論文提要內容：（共一冊，17770字，分六章） 本研究用雙音節詞來探討不同音段和聲調在臺灣華語的口語詞彙辨識歷程中的重要性。Cohort模型（1978）非常強調詞首訊息的重要性，然而Merge模型（2000）認為訊息輸入和音韻表徵的整體吻合才是最重要的。因此，本研究企圖探索不同音段和詞首詞尾在臺灣華語的口語詞彙辨識歷程中的重要性。然而，聲調的問題並無在先前的模型裡被討論。因此，聲調在臺灣華語的口語詞彙辨識歷程中所扮演的角色也會在本研究中被討論。另外，詞頻效應也會在本研究中被探索。本研究的三個實驗均由同樣的十五名受試者參加。實驗一是測試不同音段在臺灣華語的口語詞彙辨識歷程中的重要性。實驗一操弄十二個雙音節高頻詞和十二個雙音節低頻詞，每一個雙音節詞的每一個音段都分別被噪音擋住。實驗二是在探索詞首和詞尾在臺灣華語的口語詞彙辨識歷程中的重要性。實驗二操弄十二個雙音節高頻詞和十二個雙音節低頻詞。這些雙音節詞的詞首CV或詞尾VG/N都分別被雜音擋住。實驗三操弄二十四個雙音節高頻詞和二十四個雙音節低頻詞。這些雙音節詞的聲調都被拉平到100赫茲。在這三個實驗中，受試者必須聽這些被操弄過的雙音節詞，並且辨認它們。受試者的反應時間和辨詞的準確率都用E-Prime來記錄。實驗結果顯示，傳統的Cohort模型不能被完全支持，因為詞首訊息被噪音擋住的詞仍能被受試者成功的辨識出來。強調聲音訊息和音韻表徵的整體吻合度的Merge模型，比較能解釋實驗的結果。然而，Merge模型必須要加入韻律節點才能處理臺灣華語的聲調辨識的問題。本研究也顯示，雙音節詞的第一個音節的母音在口語詞彙辨識歷程中是最重要的，而雙音節詞的第二個音節的母音是第二重要的。這是因為母音帶了最多訊息，包括聲調。另外，雙音節詞的詞首和詞尾在臺灣華語的口語詞彙辨識歷程中是扮演差不多重要的角色。母音對於聲調的感知是最重要的。詞頻效應也完全表現在臺灣華語的口語詞彙辨識歷程中。 關鍵詞：口語詞彙辨識歷程、臺灣華語、華語聲調、音段、Cohort模型、Merge模型 / The present study investigated the importance of different segments and the importance of tone in spoken word recognition in Taiwan Mandarin by using isolated disyllabic words. Cohort model (1978) emphasized the absolute importance of the initial information. On the contrary, Merge (2000) proposed that the overall match between the input and the phonological representation is the most crucial. Therefore, this study tried to investigate the importance of different segments and the importance of onsets and offsets in the processing of Mandarin spoken words. However, the issues of tone were not included in the previous models. Thus, the importance of tone was also investigated in this study. The issues about frequency effect were also explored here. Three experiments were designed in this study. Fifteen subjects were invited to participate in all three experiments. Experiment 1 was designed to investigate the importance of different segments in Taiwan Mandarin. In experiment 1, 12 high-frequency disyllabic words and 12 low-frequency disyllabic words were selected. Each segment of each disyllabic word was replaced by the hiccup noise. Experiment 2 was designed to investigate the importance of onsets and offsets. In experiment 2, 12 high-frequency disyllabic words and 12 low-frequency disyllabic words were chosen. The CV of the first syllable and the VG/N of the second syllable were replaced by the hiccup noise. Experiment 3 was designed to investigate the importance of Mandarin tones. In experiment 3, 24 high-frequency disyllabic words and 24 low-frequency disyllabic words were selected. The tones of the disyllabic words were leveled to 100 Hz. In the three experiments, subjects listened to the stimuli and recognized them. The reaction time and accuracy were measured by E-Prime. The results indicated that traditional Cohort model cannot be fully supported because words can still be correctly recognized when word initial information is disruptive. Merge model, which proposed that the overall match between the input and the lexical representation is the most important, was more compatible with the results here. However, Merge model needs to include the prosody nodes, so that it can account for the processing of tones in Taiwan Mandarin. In addition, the current study also showed that the first vowel of the disyllabic word is the most crucial and the second vowel of the disyllabic word is the second influential since the vowel carries the most important information, including tones. The results of experiment 2 demonstrated that the onsets and offsets are almost the same important in Mandarin. Furthermore, vowel is the most influential segment for the perception of Mandarin tones. Finally, frequency effect appeared in the processing of Mandarin words. Keywords: spoken word recognition, Taiwan Mandarin, Mandarin tones, segments, Cohort, Merge

本論文以語意學、認知語言學及心理語言學的觀點，探討中文名詞的多義現象。本篇論文討論詞彙多重意義的語言及心理語言表徵，並研究詞義如何在心理詞彙庫中被擷取。 文中藉由認知語言學者Tuggy（1993）所提出的認知語意架構，及詞彙語意學中「同形異義詞（homonymy）」、「一詞多義（polysemy）」及「模糊意義（vagueness）」等觀念之區辨，探索詞義之本質。本文所談之意義（sense）根據Ahrens（1999）之定義有以下三個特性：（1）意義非轉喻（metonymy）或部分/全體（meronymy）之延伸，但可以是隱喻性延伸；（2）意義之間的延伸關係無法由在同類名詞中直接以規律獲得；（3）除非特意，一詞的不同意義不會在同一語境中同時出現。 針對詞彙辨識歷程的語意效應，本論文有三大研究主題--意義數目效應、意義相關性效應及相對意義頻率效應。各效應之預測如下：「意義數目效應」認為意義數目較多的詞彙在詞彙判斷作業（lexical decision tasks）中比較容易辨識；「意義相關性效應」認為當一個詞的意義之間的相關性較高時，該詞的辨識時間亦會較快；「相對意義頻率效應」則認為一個詞意義之間頻率差異程度越小，該詞越有歧義之特質，也因此越容易辨識。 本研究旨在以實證方式探討這些語意向度在詞彙辨識歷程中所扮演的角色。由受試者提供200個中文名詞的意義並決定意義間的相關性；進行電腦詞彙判斷作業，得到辨識每個詞所需的反應時間；再由統計考驗反應時間來驗證各效應。 本研究結果發現只有「意義數目效應」達顯著水準，意義數目較多的詞彙在詞彙判斷作業中比較容易辨識。此一效應支持心理詞彙庫的隨機觸接模型（random access model）及平行觸接模型（parallel access model）並駁斥「序列搜尋模型（serial access model）」。 / This thesis studies the multiple senses of Chinese nominals from semantic, cognitive linguistic, and psycholinguistic viewpoints. It discusses the linguistic and psycholinguistic representations of a word's multiple senses, and the access of these senses in the mental lexicon. The nature of lexical meaning is examined by discussing lexical semantic notions such as homonymy, polysemy, and vagueness, and by introducing Tuggy's (1993) cognitive linguistic representation of a word's multiple lexical meanings. The "senses" of a word are defined according to the lexical semantic theory of Ahrens (1999) as having three properties: (1) A sense is not an instance of metonymic or meronymic extension, but may be an instance of metaphorical extension. (2) The extension links between two senses cannot be inherited by a class of nouns. (3) Senses cannot appear in the same context (unless the complexity is triggered). This thesis specifically looks into three semantic effects on word recognition, including the word's number-of-sense (NOS) effect, the effect of sense relatedness, and the effect of relative sense frequency. The predictions of these effects are as follows: The NOS effect predicts that words with more senses are recognized faster than those with fewer senses. The effect of sense relatedness predicts that words with more closely related senses are easier to recognize than those with distantly related senses. The effect of relative sense frequency predicts that words with equal sense frequencies are more easily recognized than words with unequal sense frequencies. This research aims at empirically verifying these three effects during the recognition of isolated lexical items. Subjects generate the senses of 200 Chinese nominals, and rate the relatedness among these senses. Lexical decision tasks are conducted to obtain the reaction times required to recognize each stimulus item. The semantic effects are verified by comparing the reaction times of different groups of experimental stimuli. The experimental results confirm only the NOS effect, giving support to the random and parallel access models of lexical access, and refuting the serial access model of the mental lexicon.