● 課程說明
<br>本學期的「語言結構專題」將針對多個語言運作模型深入討論，讓修課同學和旁聽同學對這些模型
<br>進行比較和評估，並考量這些模型背後的理論如何應用在語語言結構的分析。在十八週的課程中，
<br>特別側重在口語詞彙辨識的模型，以及對話與言談運作的模型，最後也將全面地再檢視有關與語義
<br>網絡相關的理論。在細細檢視這些語言運作的過程中，會觸及個別差異的議題，這在課堂中討論理
<br>論與模型時也會一併探探。在期末報告中將請嘗試用本學期課堂中所討論的理論去分析實際語料。
<br>
<br>
<br>● 指定用書
<br>The Cambridge handbook of psycholinguistics / edited by Michael J. Spivey, 
<br>Ken McRae, Marc F. Joanisse. Cambridge; New York : Cambridge University 
<br>Press, 2012. [ISBN 9780521860642] 
<br>
<br>
<br>● 教學方式
<br>每週上課前會由授課教師擬出當週討論文章中的幾個問題，交由修課或旁聽同學閱讀當週指定文章
<br>並在上課前上傳對這些問題的答覆於課程教學平台。當週上課時，授課教師針對同學們的回覆，帶
<br>領對於該週議題的討論。
<br>
<br>
<br>● 教學進度
<br>Week 1:		Introduction:
<br>Genres of Talks (e.g. persuasion, resolving conflicts, telling stories) & 
<br>Speech Acts
<br>
<br>Week 2:		Models of Spoken Word Recognition:
<br>Mathematical Models
<br>
<br>Week 3:		Models of Spoken Word Recognition:
<br>			Verbal-Algorithmic Models
<br>
<br>Week 4:		Models of Spoken Word Recognition:
<br>			Simulation Models
<br>
<br>Week 5:		Models of Spoken Word Recognition:
<br>			Learning Models
<br>
<br>Week 6:		Models of Spoken Word Recognition:
<br>			ERP and Spoken Word Recognition
<br>
<br>Week 7:		Computational Models of Text Comprehension
<br>
<br>Week 8:		Computer Simulation of Dialogues
<br>
<br>Week 9:		Conversation and Acquisition 
<br>
<br>Week 10:	Inferencing
<br>
<br>Week 11:	ERP of Discourse and Conversation
<br>
<br>Week 12:	Discourse-level Processing
<br>
<br>Week 13:	Nested Time Scales in Tasks
<br>
<br>Week 14:	Computational Models of Semantic Memory:
<br>		Connectionist Theories
<br>
<br>Week 15:	Computational Models of Semantic Memory:
<br>		Situated Theories
<br>
<br>Week 16:	Computational Models of Semantic Memory:
<br>		Semantic Network Models
<br>
<br>Week 17:	Computational Models of Semantic Memory:
<br>		Parallel Distributed Processing Models
<br>
<br>Week 18:	Computational Models of Semantic Memory:
<br>		Word Co-occurrence Models
<br>
<br>
<br>● 成績考核
<br>	(1) 每週上傳預習作業 (60%)
<br>	(2) 隨堂小考 (20%)
<br>        (3) 期末報告 (20%)
<br>