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Deep Encoding of Etymological Information in TEI
Deep Encoding of Etymological Information in TEI
In this paper we provide a systematic and comprehensive set of modeling principles for representing etymological data in digital dictionaries using TEI. The purpose is to integrate in one coherent framework both digital representations of legacy dictionaries and born-digital lexical databases that are constructed manually or semi-automatically. We provide examples from many different types of etymological phenomena from traditional lexicographic practice, as well as analytical approaches from functional and cognitive linguistics such as metaphor, metonymy, and grammaticalization, which in many lexicographical and formal linguistic circles have not often been treated as truly etymological in nature, and have thus been largely left out of etymological dictionaries. In order to fully and accurately express the phenomena and their structures, we have made several proposals for expanding and amending some aspects of the existing TEI framework. Finally, with reference to both synchronic and diachronic data, we also demonstrate how encoders may integrate semantic web/linked open data information resources into TEI dictionaries as a basis for the sense, and/or the semantic domain, of an entry and/or an etymon.
Microsoft Academic Graph classification: business.industry Computer science Representation (arts) Tracing computer.software_genre Variety (linguistics) Focus (linguistics) Set (abstract data type) Representation language Encoding (semiotics) Artificial intelligence business computer Natural language processing
FOS: Computer and information sciences, Computer Science - Computation and Language, etymology, General Medicine, TEI, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], QA76.75-76.765, Computer software, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, Computation and Language (cs.CL), dictionary
FOS: Computer and information sciences, Computer Science - Computation and Language, etymology, General Medicine, TEI, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], QA76.75-76.765, Computer software, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, Computation and Language (cs.CL), dictionary
Microsoft Academic Graph classification: business.industry Computer science Representation (arts) Tracing computer.software_genre Variety (linguistics) Focus (linguistics) Set (abstract data type) Representation language Encoding (semiotics) Artificial intelligence business computer Natural language processing
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