Trends, régimes, collocations, co-expressions and trees: new methods for analysing sequential aspects of literary language and literary data

Title: Trends, régimes, collocations, co-expressions and trees: new methods for analysing sequential aspects of literary language and literary data
Creator: Elliott, Jack
Relation: University of Newcastle Research Higher Degree Thesis
Resource Type: thesis
Date: 2015
Description: Research Doctorate - Doctor of Philosophy (PhD)
Description: Stylometry has mostly confined itself to seeing a text as a summary of word-counts: this thesis takes these ideas one step further and develops practical algorithms for analysing the flow of literary language. These models seek to retain all words in the corpus, rather than focusing primarily on common words (as stylometric models have traditionally done) or on infrequent words (as information extraction has usually done). These algorithms also consciously exploit the scale-dependent nature of literary language, building models on small (from word-to-word), large (throughout a text) and massive (across an entire genre) scales. Although new results are presented for 19th century fiction and Arden of Faversham, these techniques are mainly applied to the study of Harlequin Presents, the most popular and prolific form of romance literature in the world.
Subject: literary language; literary data; stylometry; thesis by publication
Identifier: http://hdl.handle.net/1959.13/1313644
Identifier: uon:22622
Language: eng
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