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The use of lexical knowledge in sent...
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University of Rochester.
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The use of lexical knowledge in sentence processing.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The use of lexical knowledge in sentence processing./
作者:
Boland, Julie Elizabeth.
面頁冊數:
169 p.
附註:
Source: Dissertation Abstracts International, Volume: 52-11, Section: B, page: 6111.
Contained By:
Dissertation Abstracts International52-11B.
標題:
Language, Linguistics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=9210213
The use of lexical knowledge in sentence processing.
Boland, Julie Elizabeth.
The use of lexical knowledge in sentence processing.
- 169 p.
Source: Dissertation Abstracts International, Volume: 52-11, Section: B, page: 6111.
Thesis (Ph.D.)--University of Rochester, 1991.
One of the fundamental problems in language processing is how various types of knowledge (e.g., syntactic, semantic) are coordinated to form meaningful representations of sentences. Word-specific knowledge may play a key role since lexical representations contain both syntactic and semantic information about the word. This thesis explores how the knowledge made available by word recognition is used to understand sentences. Knowledge associated with verbs is especially important in figuring out "who did what to whom." While all researchers agree that word-specific knowledge is used in sentence processing, there is disagreement about when it is used. One view is that lexical information is fully exploited by the processing system, while others believe that time and processing constraints force us to make initial processing decisions without consulting lexical knowledge. This thesis explores when verb-specific information is used in sentence processing and, further, attempts to distinguish between two types of verb-specific knowledge: thematic role information and subcategorization frames.Subjects--Topical Terms:
1018079
Language, Linguistics.
The use of lexical knowledge in sentence processing.
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Source: Dissertation Abstracts International, Volume: 52-11, Section: B, page: 6111.
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Supervisor: Michael K. Tanenhaus.
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Thesis (Ph.D.)--University of Rochester, 1991.
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One of the fundamental problems in language processing is how various types of knowledge (e.g., syntactic, semantic) are coordinated to form meaningful representations of sentences. Word-specific knowledge may play a key role since lexical representations contain both syntactic and semantic information about the word. This thesis explores how the knowledge made available by word recognition is used to understand sentences. Knowledge associated with verbs is especially important in figuring out "who did what to whom." While all researchers agree that word-specific knowledge is used in sentence processing, there is disagreement about when it is used. One view is that lexical information is fully exploited by the processing system, while others believe that time and processing constraints force us to make initial processing decisions without consulting lexical knowledge. This thesis explores when verb-specific information is used in sentence processing and, further, attempts to distinguish between two types of verb-specific knowledge: thematic role information and subcategorization frames.
520
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Experiment 1 provides evidence that a verb's arguments can be interpreted prior to bottom-up evidence of the argument's syntactic position. This finding is inconsistent with the view that lexical information is initially ignored, but it does not explain how lexical information becomes available or how different types of lexical information are used. Because it is crucial to distinguish between syntactic and semantic processes, Experiment 2 investigates cross-modal naming and lexical decision as tasks that can be used to empirically distinguish between syntactic and semantic representations. Having established confidence in the methodology, it can then be used to investigate how verb-based syntactic and semantic information are used to form syntactic and semantic representations. Experiment 3 uses cross-modal naming and lexical decision to investigate whether multiple argument structures are made available when an ambiguous verb is recognized. The results suggest that subcategorization information is accessed in parallel and multiple syntactic representations are built, but only the contextually appropriate thematic information is used to build a single semantic representation.
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http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=9210213
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