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Verb sense and verb subcategorizatio...

Roland, Douglas William.

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Verb sense and verb subcategorization probabilities.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Verb sense and verb subcategorization probabilities./
作者:	Roland, Douglas William.
面頁冊數:	187 p.
附註:	Director: Daniel S. Jurafsky.
Contained By:	Dissertation Abstracts International62-11A.
標題:	Language, Linguistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3034343
ISBN:	9780493468570

Verb sense and verb subcategorization probabilities.
Roland, Douglas William.

Verb sense and verb subcategorization probabilities. - 187 p.

Director: Daniel S. Jurafsky.

Thesis (Ph.D.)--University of Colorado at Boulder, 2001.

This dissertation investigates a variety of problems in psycholinguistics and computational linguistics caused by the differences in verb subcategorization probabilities found between various corpora and experimental data sets. For psycholinguistics, these problems include the practical problem of which frequencies to use for norming psychological experiments, as well as the more theoretical issue of which frequencies are represented in the mental lexicon and how those frequencies are learned. In computational linguistics, these problems include the decreases in the accuracy of probabilistic applications such as parsers when they are used on corpora other than the one on which they were trained.

ISBN: 9780493468570Subjects--Topical Terms:

1018079
Language, Linguistics.

Verb sense and verb subcategorization probabilities.
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245 1 0 $a Verb sense and verb subcategorization probabilities.
300 $a 187 p.
500 $a Director: Daniel S. Jurafsky.
500 $a Source: Dissertation Abstracts International, Volume: 62-11, Section: A, page: 3762.
502 $a Thesis (Ph.D.)--University of Colorado at Boulder, 2001.
520 $a This dissertation investigates a variety of problems in psycholinguistics and computational linguistics caused by the differences in verb subcategorization probabilities found between various corpora and experimental data sets. For psycholinguistics, these problems include the practical problem of which frequencies to use for norming psychological experiments, as well as the more theoretical issue of which frequencies are represented in the mental lexicon and how those frequencies are learned. In computational linguistics, these problems include the decreases in the accuracy of probabilistic applications such as parsers when they are used on corpora other than the one on which they were trained.
520 $a Evidence is presented showing that different senses of verbs and their corresponding differences in subcategorization, as well as inherent differences between the production of sentences in psychological norming protocols and language use in context, are important causes of the subcategorization frequency differences found between corpora. This suggests that verb subcategorization probabilities should be based on individual senses of verbs rather than the whole verb lexeme, and that "test tube" sentences are not the same as "wild" sentences. Hence, the influences of experimental design on verb subcategorization probabilities should be given careful consideration.
520 $a This dissertation will demonstrate a model of how the relationship between verb sense and verb subcategorization can be employed to predict verb subcategorization based on the semantic context preceding the verb in corpus data. The predictions made by the model are shown to be the same as predictions made by human subjects given the same contexts.
590 $a School code: 0051.
650 4 $a Language, Linguistics. $3 1018079
650 4 $a Psychology, General. $3 1018034
690 $a 0290
690 $a 0621
710 2 0 $a University of Colorado at Boulder. $3 1019435
773 0 $t Dissertation Abstracts International $g 62-11A.
790 $a 0051
790 1 0 $a Jurafsky, Daniel S., $e advisor
791 $a Ph.D.
792 $a 2001
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