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Historical linguistic
Historical linguistic











Within historical linguistics, his research focuses mainly on Indo-European languages. Naylor Professor of South Slavic Linguistics at The Ohio State University. In the process, topological issues (such as those pertaining to the data) and topographical issues (such as those pertaining to geography and the physical terrain) are addressed. Joseph is Professor of Linguistics and Kenneth E. The original data are re-analysed in terms of lexical types or 'lexemes', and the results are digitally generated by new dot maps, with separate gestations for respondent age and gender. This study presents three pilot studies from the North Mid Scots area: the atlas concepts of 'ankle', 'splinter' and 'the youngest of a brood or litter'. The data for these reflections come from the lexical material in The Linguistic Atlas of Scotland ( ), which is currently being digitised at the University of Vienna. This study shows that it is possible and necessary to establish a theoretical framework for the digitalisation of a historical data collection. How do responses being offered as 'local' square with their geographical distribution on the one hand, and their status as 'Scots' or 'English', or as 'dialect' or 'standard' on the other? How are 'dialect' or 'standard' responses offered as 'local' responses from the same individual to be considered? Is the issue that of a straightforward dialect-standard binary opposition, or is there a third value between the two? Does that third value encompass a middle ground between dialect and standard, or include both? How is the absence of responses to be regarded? For elucidation of such linguistic issues, the article invokes the mathematical principle of the excluded middle. This article addresses the issue of variation in the lexicon-specifically the hyponymy (or synonymy) among onomasiological responses for the same concept or referent-and how the range of responses from a national elicitation in Scotland seeking 'local' words should be judged. Historical Documents and automatic text recognition Natural Language Processing for Digital Humanities HistoInformatics: Computational Approaches to History

historical linguistic

Scientific and Technological Strategic IntelligenceĬollecting, Preserving, and Disseminating Endangered Cultural Heritage for New Understandings through Multilingual Approaches On the Way to the Future of Digital Manuscript Studies.













Historical linguistic