Lexicographical explorations of neologisms in the digital age : tracking new words online and comparing wiktionary entries with 'traditional' dictionary representations
This thesis explores neologisms in two distinct but related contexts: dictionaries and newspapers. Both present neologisms to the world, the former through information and elucidation of meaning, the latter through exemplification of real-world use and behaviour. The thesis first explores the representation of new words in a range of different dictionary types and formats, comparing entries from collaborative dictionary Wiktionary with those in expert-produced dictionaries, both those categorised here as âcorpus-basedâ and those termed âcorpus-informedâ. The former represent the most current of the expert-produced dictionary models, drawing on corpora for almost all of the data they include in an entry, while the latter draw on a mixture of old-style citations and Reading Programmes for much of their data, although this is supplemented with corpus information in some areas. The purpose of this part of the study was to compare degrees of comprehensiveness between the expert and collaborative dictionaries as demonstrated by the level and quality of detail included in new-word entries and in the dictionariesâ responsiveness to new words. This is done by comparing the number and quality of components
Creese, S.
Lexicographical explorations of neologisms in the digital age : tracking new words online and comparing wiktionary entries with 'traditional' dictionary representations. This thesis explores neologisms in two distinct but related contexts: dictionaries and newspapers. Both present neologisms to the world, the former through information and elucidation of meaning, the latter through exemplification of real-world use and behaviour. The thesis first explores the representation of new words in a range of different dictionary types and formats, comparing entries from collaborative dictionary Wiktionary with those in expert-produced dictionaries, both those categorised here as âcorpus-basedâ and those termed âcorpus-informedâ. The former represent the most current of the expert-produced dictionary models, drawing on corpora for almost all of the data they include in an entry, while the latter draw on a mixture of old-style citations and Reading Programmes for much of their data, although this is supplemented with corpus information in some areas. The purpose of this part of the study was to compare degrees of comprehensiveness between the expert and collaborative dictionaries as demonstrated by the level and quality of detail included in new-word entries and in the dictionariesâ responsiveness to new words. This is done by comparing the number and quality of components
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