Typické vzory užívání anglických sloves

Corpus Pattern Analysis (CPA) is a corpus-based method that explores typical usage patterns of verbs in a text corpus, and describes meaning of verbs by means of contextual preferences defined both syntactically and semantically [1]. CPA in conjuction with the British National Corpus (BNC) is curren...

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Main Author: Smejkalová, Lenka
Other Authors: Holub, Martin
Format: Dissertation
Language:Czech
Published: 2010
Online Access:http://www.nusl.cz/ntk/nusl-298452
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spelling ndltd-nusl.cz-oai-invenio.nusl.cz-2984522017-06-27T04:42:44Z Typické vzory užívání anglických sloves Typical Usage Patterns of English Verbs Smejkalová, Lenka Holub, Martin Lopatková, Markéta Corpus Pattern Analysis (CPA) is a corpus-based method that explores typical usage patterns of verbs in a text corpus, and describes meaning of verbs by means of contextual preferences defined both syntactically and semantically [1]. CPA in conjuction with the British National Corpus (BNC) is currently used to create The Pattern Dictionary of English Verbs (PDEV) [1, 2]. The thesis describes the current status of the PDEV, presents a thorough analysis of available data on typical usage patterns and explores possible applications of the PDEV for automatic lexical analysis. In this thesis procedures usable in further PDEV development have been designed and implemented. The first of them automatically extracts arguments of verbs from an output of English syntactic analysis. The second one uses the extracted arguments to create lists of lexical units that realize semantic types. The last procedure uses these lists to automatically recognize typical usage patterns of verbs. The thesis also evaluates inter-annotator agreement, automatic extraction of verb arguments in/from English sentence, and effectiveness of the proposed procedures in the extraction of lexical units that realize semantic types and in automatic recognition of typical usage patterns. 2010 info:eu-repo/semantics/masterThesis http://www.nusl.cz/ntk/nusl-298452 cze info:eu-repo/semantics/restrictedAccess
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language Czech
format Dissertation
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description Corpus Pattern Analysis (CPA) is a corpus-based method that explores typical usage patterns of verbs in a text corpus, and describes meaning of verbs by means of contextual preferences defined both syntactically and semantically [1]. CPA in conjuction with the British National Corpus (BNC) is currently used to create The Pattern Dictionary of English Verbs (PDEV) [1, 2]. The thesis describes the current status of the PDEV, presents a thorough analysis of available data on typical usage patterns and explores possible applications of the PDEV for automatic lexical analysis. In this thesis procedures usable in further PDEV development have been designed and implemented. The first of them automatically extracts arguments of verbs from an output of English syntactic analysis. The second one uses the extracted arguments to create lists of lexical units that realize semantic types. The last procedure uses these lists to automatically recognize typical usage patterns of verbs. The thesis also evaluates inter-annotator agreement, automatic extraction of verb arguments in/from English sentence, and effectiveness of the proposed procedures in the extraction of lexical units that realize semantic types and in automatic recognition of typical usage patterns.
author2 Holub, Martin
author_facet Holub, Martin
Smejkalová, Lenka
author Smejkalová, Lenka
spellingShingle Smejkalová, Lenka
Typické vzory užívání anglických sloves
author_sort Smejkalová, Lenka
title Typické vzory užívání anglických sloves
title_short Typické vzory užívání anglických sloves
title_full Typické vzory užívání anglických sloves
title_fullStr Typické vzory užívání anglických sloves
title_full_unstemmed Typické vzory užívání anglických sloves
title_sort typické vzory užívání anglických sloves
publishDate 2010
url http://www.nusl.cz/ntk/nusl-298452
work_keys_str_mv AT smejkalovalenka typickevzoryuzivanianglickychsloves
AT smejkalovalenka typicalusagepatternsofenglishverbs
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