Machine-Readable Dictionaries
نویسنده
چکیده
The papers in this panel consider machine-readable dictionaries from several perspectives: research in computational linguistics and computational lexicology, the development of tools for improving accessibility, the design of lexical reference systems for educational purposes, and applications of machine-readable dictionaries in information science contexts. As background and by way of introduction, a description is provided of a workshop on machine-readable dictionaries that was held at SRI International in April 1983.
منابع مشابه
The Dictionary Server
The term "machine-readable dictionary" can clearly be taken in two ways. In its stronger and better established interpretation, it presumably refers to dictionaries intended for machine consumption and use as in a language processing system of some sort. In a somewhat weaker sense, it has to do with dictionaries intended for human consumption, but through the intermediary of a machine. Ideally,...
متن کاملExtracting Knowledge Bases from Machine- Readable Dictionaries : Have We Wasted Our Time?
Machine-readable versions of everyday dictionaries have been seen as a likely source of information for use in natural language processing because they contain an enormous amount of lexical and semantic knowledge. However, after 15 years of research, the results appear to be disappointing. No comprehensive evaluation of machine-readable dictionaries (MRDs) as a knowledge source has been made to...
متن کاملAn Approach to Building the Hierarchical Element of a Lexical Knowledge Base from a Machine Readable Dictionary. an Approach to Building the Hierarchical Element of a Lexical Knowledge Base from a Machine Readable Dictionary 1
This abstract describes an approach to extracting taxonomies from machine readable dictionaries and using them to structure a lexical knowledge base which incorporates default inheritance. Taxonomy construction is based on an intuitive notion of the organisation of the substantial quantities of data in machine readable dictionaries which were developed for quite independent purposes. Our intent...
متن کاملAn Assessment Of Semantic Information Automatically Extracted From Machine Readable Dictionaries
In this paper we provide a quantitative evaluation of information automatically extracted from machine readable dictionaries. Our results show that for any one dictionary, 55-70% of the extracted information is garbled in some way. However, we show that these results can be dramatically reduced to about 6% by combining the information extracted from five dictionaries. It therefore appears that ...
متن کاملMachine Readable Dictionaries: What Have We Learned, Where Do We Go?
Machine-readable versions of everyday dictionaries have been seen as a likely source of information for use in natural language processing because they contain an enormous amount of lexical and semantic knowledge. However, after fifteen years of research, the results appear to be disappointing. No comprehensive evaluation of machine-readable dictionaries (MRDs) as a knowledge source has been ma...
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