• 沒有找到結果。

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CHAPTER 6 Conclusion

The current study has demonstrated that traditional Cohort model cannot be fully

supported because words can still be correctly recognized when word initial

information is disruptive. In general, the overall match between the input and the

lexical representation plays an important role. However, the Merge model, which

proposes that the overall match between the input and the lexical representation is the

most important, also cannot provide a thorough explanation on spoken word

recognition in Taiwan Mandarin since tonal information is not included in the model.

If tonal information is taken into consideration, Merge can account for the spoken

word recognition in Taiwan Mandarin. The results of experiment 1 also display that

Merge is a better model than TRACE because the strong top-down feedback of

TRACE can override the perception of the hiccup noise.

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 in spoken word recognition in Taiwan Mandarin since the vowel carries the

most important information needed for spoken word recognition in Taiwan Mandarin,

including tones. The vowels also occupy the longest period of time in the disyllabic

words. Thus, if the vowel is disruptive, the rate of correctly recognizing the spoken

words will be lower than the rate of successfully recognizing the spoken words whose

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consonants are disturbed. The results of experiment 2 also demonstrate that the onsets

and offsets are almost the same important in Mandarin. Although the vowel in the first

syllable is more influential than that in the second syllable, the coda nasal or

postnuclear glide usually occupy longer period of time than the initial consonant and

carry more information than the initial consonant, including tone. Therefore, the

onsets and offsets are almost the same crucial in mandarin.

Furthermore, the results of this study show that the vowel is the most influential

segment for the perception of Mandarin tones. Although the whole rime carries tonal

information in Mandarin, the vowel occupies the longest period of time compared

with the postnuclear glide and coda nasal. Therefore, if the vowel is replaced by the

hiccup noise, it will be the most devastating to the perception of Mandarin tones.

Last but not least, frequency effect appears in experiment 1, 2, and 3, which

means that it takes shorter reaction time for high frequency words to be recognized. In

the three experiments, it also displays that low frequency words have higher chances

to be incorrectly recognized than high frequency words when the words are partially

disruptive. Hence, frequency effect is an important factor in spoken word recognition

in Taiwan Mandarin.

So for the study has shown some general findings from the experiments, I hope I

can recruit more participants for all three experiments to support or revise the results

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in the future study. In addition, the issues concerning the processing of Mandarin

tones will also be more subtly dealt with. Moreover, the question about which tone is

the most frequent one to interact with the other tones will be further examine in the

future study. Last but not least, the issue regarding Mandarin tone in the Merge model

will be investigated more thoroughly in the further study.

Connine, C. M., Blasko, D., & Wang, J. (1994). Vertical similarity and spoken word recognition: Multiple lexical activation, individual differences, and the role of sentence context. Perception and Psychophysics, 56, 624-636.

Cutler A., & Chen, H.-C. (1997). Lexical tone in Cantonese spoken word processing.

Perception and Psychophysics, 59 (2), 165-179.

Fox, R. A., & Unkefer, J. (1985). The effect of lexical status on the perception of tone.

Journal of Chinese Linguistics, 13, 69-90.

Frauenfelder, U. H.; Tyler, L. K. (1987). The process of spoken word recognition: An introduction. Cognition, 25, 1-20.

Grosjean, F. (1980). Spoken word recognition processes and the gating paradigm.

Perception and Psychophysics, 28, 267-283.

Grosjean, F. (1985). The recognition of words after their acoustic offset: Evidence and implications. Perception and Psychophysics, 38, 299-310.

Lee, C-Y. (2000). Lexical tone in spoken word recognition: A view from Mandarin

Chinese. Doctoral dissertation, Brown University.

Jongman, A.; Wang, Y.; Moore, C.; Sereno, J. A. Perception and production of Mandarin Chinese tones. Handbook of Chinese Psycholinguistics. E. Bates, L. H.;

Tan, & Tzeng, O. J. L. (eds.). Cambridge University Press.

Jusczyk, P. W. & Luce, P. A. (2002). Speech perception and spoken word recognition:

Past and present. Ear & Hearing, 23, 2-40.

Marslen-Wilson, W. D. & Welsh, A. (1978). Processing interactions during word recognition in continuous speech. Cognition, 10, 29-63.

Marslen-Wilson, W. D. & Tyler, L. K. (1980). The temporal structure of spoken language understanding. Cognition, 8, 1-71.

Marslen-Wilson, W. D., & Zwitserlood, P. (1989). Accessing spoken words: The importance of word onsets. Journal of Experimental Psychology: Human

Perception and Performance, 15, 576-585.

McClelland, J. L. & Elman, J. L. (1986). The TRACE model of speech perception.

Cognitive Psychology, 18, 1-86.

Milberg, M.; Blumstein, S.; & Dworetzky, B. (1988). Phonological factors in lexical access: Evidence from an auditory lexical decision task. Bulletin of the

Psychonomic Society, 26, 305-308.

Nooteboom, S. G.; van der Vlugt, M. J. (1988). A search for a word-beginning superiority effect. The Journal of the Acoustical Society of America, 84, 2018-2032.

Norris, D. (1994). Shortlist: A connectionist model of continuous speech recognition.

recognition: Feedback is never necessary. Behavioral and Brain Sciences, 23, 299-370.

Salasoo, A., & Pisono, D. (1985). Interaction of knowledge sources in spoken word identification. Journal of Memory and Language, 24, 210-231.

Slowiaczek, L., M., Nusbaum, H., C., Pisoni, D., B. (1987). Phonological priming in auditory word recognition. Journal of Experimental Psychology: Learning,

Memory, and Cognition, 13, 64-75.

Tyler, L. K., & Wessels, J. (1983). Quantifying contextual contributions to word-recognition processes. Perception and Psychophysics, 34, 409-420.

Tyler, L. K., (1984). The structure of the initial cohort: Evidence from gating.

Perception and Psychophysics, 36, 417-427.

Tyler, L. K., & Wessels, J. (1985). Is gating an on-line task? Evidence from naming latency data. Perception and Psychophysics, 38, 217-222.

Wayland, S. C.; Wingfield, A.; Goodglass, H. (1989). Recognition of isolated words:

The dynamics of cohort reduction. Applied Psycholinguistics, 10, 475-487.

Wingfield, A.; Goodglass, H.; Lindfield, K. C. (1997). Word recognition from acoustic onsets and acoustic offsets: Effects of cohort size and syllabic stress.

Applied Psycholingustics, 18, 85-100.

Ye, Y. & Connine, C. M. (1999). Processing spoken Chinese: The role of tone information. Language and Cognitive Processes, 14(5/6), 609-630.

High frequency words for experiment 1and 3

(from Academia Sinica Balanced Corpus of Modern Chinese)

Word IPA Frequency Percent Cumulation

Low frequency words for experiment 1and 3

(from Academia Sinica Balanced Corpus of Modern Chinese)

Word IPA Frequency Percent Cumulation

1 竊賊

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12 選情

ɕɥɛn21 tȹɕiŋ35

17 0.000 90.772

High frequency words for experiment 2 and 3

(from Academia Sinica Balanced Corpus of Modern Chinese)

Word IPA Frequency Percent Cumulation

1 中心 t oŋ55 in55 3011 0.062 39.057

Low frequency words for experiment 2 and 3

(from Academia Sinica Balanced Corpus of Modern Chinese)

Word IPA Frequency Percent Cumulation

1 台胞

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10 膽囊 tan21 n ŋ35 14 0.000 91.738

11 禪心

tȹ an35 in55 14 0.000 91.740

12 性感 iŋ51 kan21 2 0.000 98.161