![]() In designing the corpus typology (taxonomy) we make use of pro- totype theory (Rosch, 1973) that affords the embedding of a basic-level category (communicative purpose) within a super-level (social text use) and a sub-genre (topic modelling). the distribution of style features in communicative areas (Jakobson, 1960). Register can be understood as the function between situational context and linguistic analysis (Biber & Conrad, 2009) or as functional stylistics i.e. We thus contribute both to linguistic theory building and to research on genre adaptation of NLP methods within the LiMo project. We narrow this gap by (i) developing a theoretically grounded comparative typology for genre and register analysis, (ii) compiling a corpus of German register and genre out of DeReKo (Kupietz et al., 2010), (iii) developing high accuracy machine learning algorithms for supervised text genre classification, (iv) providing an extensive description of prototypical register classes through the agglomeration of style feature loadings. Work on register for German is rather scarce, compared to English. Addressing this intersection of fiction, genre, and psychology, word-frequency characteristics helped (i) distinguish novels from other types of writing, (ii) measure embodiment and emotional tone in a text, (iii) describe and individuate dystopian fiction, and (iv) differentiate dystopian works and authors. ![]() The primary research question was: What does a word-frequency analysis indicate about the psychological characteristics of masterwork dystopian novels? This question entailed two primary support questions: Does the dystopian canon of masterwork novels exhibit more psychoaffective distancing than other genres of novels (i.e., is this distancing an individuating characteristic)? Can embodiment be represented and discussed through a quantitative psychological word-frequency assessment? In the respective literatures, textual embodiment is characteristic of fiction writing, the dystopian genre is partly defined by psychological characteristics, and word usages reveal the disposition of a narrative voice. This dissertation used word-frequency analysis to differentiate the psycholinguistic characteristics of fiction writing, specifically genre writing with a focus on masterwork dystopian novels.
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