3 resultados para NCI THESAURUS

em WestminsterResearch - UK


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This paper reports on issues at the interface between semantics and lexicography that arose out of the data collection and classification of vocabulary in Anglo-Norman and Middle English in order to create a bilingual thesaurus of everyday life in medieval England. The Bilingual Thesaurus project is based at Birmingham City University and the University of Westminster. Issues to be resolved included the definition of an occupational domain; the creation of a methodology of data collection; the delimitation of domain-specific vocabulary; making distinctions between sense and usage; and the categorisation of the lexical items. Some of these issues are general to thesaurus-making, some are specific to the making of historical thesauruses, while some are unique to the production of a thesaurus of two languages whose use overlapped for several centuries in the late medieval period in England.

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This paper investigates how far it is possible to assess the degree of penetration of French-origin lexis into Middle English by means of the structures and data of the Bilingual Thesaurus of Medieval England. It begins with an outline of the aim and scope of the project, describing some of the methodological decisions behind the creation of the Bilingual Thesaurus, such as the use of the Middle English Dictionary and the Anglo Norman Dictionary as sources. Some provisional findings relating to Middle English words of French-origin in the semantic domains of Manufacture, in particular the sub-domains of Metal-working and Woodworking, and Travel by Water are then presented.

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In the context of monolingual and bilingual retrieval, Simple Knowledge Organisation System (SKOS) datasets can play a dual role as knowledge bases for semantic annotations and as language-independent resources for translation. With no existing track of formal evaluations of these aspects for datasets in SKOS format, we describe a case study on the usage of the Thesaurus for the Social Sciences in SKOS format for a retrieval setup based on the CLEF 2004-2006 Domain-Specific Track topics, documents and relevance assessments. Results showed a mixed picture with significant system-level improvements in terms of mean average precision in the bilingual runs. Our experiments set a new and improved baseline for using SKOS-based datasets with the GIRT collection and are an example of component-based evaluation.