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Literary and Linguistic Computing is a peer-reviewed journal published by Oxford University Press, covering Digital Humanities and Scholarship, Natural Language Processing Techniques, Authorship Attribution and Profiling.
| Publisher | Oxford University Press |
|---|---|
| Reference style | Author–year (OUP) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Literary and Linguistic Computing, 12(3), pp. 45–58.
Formats any DOI in the closest standard style — Literary and Linguistic Computing has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Digital Humanities and Scholarship Natural Language Processing Techniques Authorship Attribution and Profiling Semantic Web and Ontologies Lexicography and Language Studies |
| ISSN | 0268-1145 |
| h-index | 71 |
| i10-index | 364 |
| Total citations | 23,146 |
| Top institutions publishing here | University College London |
| Journal website | llc.oxfordjournals.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Journal Article Representativeness in Corpus Design Get access DOUGLAS BIBER DOUGLAS BIBER Department of English, Northern Arizona University Douglas Biber, Department of English, Northern Arizona University, PO Box 6032, Flagstaff, AZ 86011–6032, USA. E-mail: biber@nauvax.ucc.nau.edu Search for other works by this author on: Oxford Academic Google Scholar Literary and Linguistic Computing, Volume 8, Issue 4,…
Journal Article The Oxford English Dictionary Online Get access Christian Kay, Christian Kay Search for other works by this author on: Oxford Academic Google Scholar Irené Wotherspoon Irené Wotherspoon Search for other works by this author on: Oxford Academic Google Scholar Literary and Linguistic Computing, Volume 19, Issue 2, June 2004, Pages 246–249, https://doi.org/10.1093/llc/19.2.246 Published:…
The problem of automatically determining the gender of a document's author would appear to be a more subtle problem than those of categorization by topic or authorship attribution. Nevertheless, it is shown that automated text categorization techniques can exploit combinations of simple lexical and syntactic features to infer the gender of the author of an…
This paper is a companion to my ‘Questions of authorship: attribution and beyond’, in which I sketched a new way of using the relative frequencies of the very common words for comparing written texts and testing their likely authorship. The main emphasis of that paper was not on the new procedure but on the broader…
Journal Article The Evolution of Stylometry in Humanities Scholarship Get access DAVID I. HOLMES DAVID I. HOLMES The College of New JerseyUSA David I. Holmes, Department of Mathematics and Statistics. The College of New Jersey, PO Box 7718, Ewing, NJ 08628-0718, USA Search for other works by this author on: Oxford Academic Google Scholar Literary…
