Bibliografie

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Aaron Santesso, ‘Fascism and Science Fiction’, Science Fiction Studies, 41.1 (2014), pp. 136–62, http://doi.org/10.5621/sciefictstud.41.1.0136

Achananuparp, Palakorn, Xiaohua Hu, and Xiajiong Shen, ‘The Evaluation of Sentence Similarity Measures’, in Data Warehousing and Knowledge Discovery, ed. by Il-Yeol Song, Johann Eder, and Tho Manh Nguyen (Springer Berlin Heidelberg, 2008), mmmmmclxxxii, pp. 305–16, doi:10.1007/978-3-540-85836-2_29

Adamzik, Kirsten, Textsorten – Texttypologie. Eine Kommentierte Bibliographie (Nodus, 1995) <https://www.unige.ch/lettres/alman/fr/enseignants/anciens/adamzik/arbeitskreis-textsorten/>

Adamzik, Kirsten, Roger Gaberell, and Gottfried Kolde, Kontrastive Textologie: Untersuchungen zur deutschen und französischen Sprach- und Literaturwissenschaft, Textsorten, 2 (Stauffenburg-Verl, 2001)

Agapitos, Paschalis, and Andreas van Cranenburgh, ‘A Stylometric Analysis of Seneca’s Disputed Plays. Authorship Verification of Octavia and Hercules Oetaeus’, Journal of Computational Literary Studies, 3.1 (2024), http://doi.org/10.48694/jcls.3919

Albert I. Berger, ‘Science-Fiction Fans in Socio-Economic Perspective: Factors in the Social Consciousness of a Genre’, Science Fiction Studies, 4.3 (1977), pp. 232–46 <http://www.jstor.org/stable/4239132>

Albitar, Shereen, Sébastien Fournier, and Bernard Espinasse, ‘An Effective TF/IDF-Based Text-to-Text Semantic Similarity Measure for Text Classification’, in Web Information Systems Engineering – WISE 2014, ed. by Boualem Benatallah, and others (Springer International Publishing, 2014), pp. 105–14, doi:10.1007/978-3-319-11749-2_8

Allan, Janice, and others, eds., The Routledge Companion to Crime Fiction, 1st edn (Routledge, 2020), doi:10.4324/9780429453342

Allison, Sarah, and others, ‘Quantitative Formalism: An Experiment (Stanford Literary Lab, Pamphlet 1)’, Pamphlets of the Stanford Literary Lab, 2011 <https://litlab.stanford.edu/LiteraryLabPamphlet1.pdf>

Altmann, Eduardo G., Janet B. Pierrehumbert, and Adilson E. Motter, ‘Beyond Word Frequency: Bursts, Lulls, and Scaling in the Temporal Distributions of Words’, ed. by Enrico Scalas, PLoS ONE, 4.11 (2009), p. e7678, http://doi.org/10.1371/journal.pone.0007678

Altmann, E. G., G. Cristadoro, and M. D. Esposti, ‘On the Origin of Long-Range Correlations in Texts’, Proceedings of the National Academy of Sciences, 109.29 (2012), pp. 11582–87, http://doi.org/10.1073/pnas.1117723109

Amit Marcus, ‘The Ethics of Human Cloning in Narrative Fiction’, Comparative Literature Studies, 49.3 (2012), pp. 405–33, http://doi.org/10.5325/complitstudies.49.3.0405

Anderson, Wendy J., The Phraseology of Administrative French: A Corpus-Based Study, Language and Computers, 57 (Rodopi, 2006)

André Salem, Ludovic Lebart, ‘Statistique Textuelle’, ResearchGate, January 1994 <https://www.researchgate.net/publication/44832136_Statistique_textuelle>

Andrej Karpathy, Let’s Build GPT: From Scratch, in Code, Spelled Out., 2023 <https://www.youtube.com/watch?v=kCc8FmEb1nY>

Andrew Milner, ‘Science Fiction and the Literary Field’, Science Fiction Studies, 38.3 (2011), pp. 393–411, http://doi.org/10.5621/sciefictstud.38.3.0393

Angenot, Marc, Les Dehors de La Littérature, Unichamp Essentiel ; 31 (Champion, 2013)

Angenot, Marc, Le roman populaire: recherches en paralittérature (Presses de l’université du Québec, 1975) <http://digitale-objekte.hbz-nrw.de/storage/2009/11/07/file_18/3292944.pdf>

Anthony, Laurence, ‘AntConc: Design and Development of a Freeware Corpus Analysis Toolkit for the Technical Writing Classroom’, 2005, pp. 729–37, http://doi.org/10.1109/IPCC.2005.1494244

Anthony, Laurence, ‘AntConc: Design and Development of a Freeware Corpus Analysis Toolkit for the Technical Writing Classroom’, in IPCC 2005. Proceedings. International Professional Communication Conference, 2005. (IEEE, 2005), pp. 729–37

ARNOLD, DAVID, ‘THE CASE FOR CRIME’, Studies in the Novel, 35.1 (2003), pp. 108–18 <http://www.jstor.org/stable/29533551>

Ashley, Michael, Yesterday’s Tomorrows: The Story of Classic British Science Fiction in 100 Books (British Library, 2020)

Ashley, Michael, ed., The Feminine Future: Early Science Fiction by Women Writers, Dover Thrift Editions (Dover Publications, 2015) <https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1156457>

Ashley, Michael, ed., Menace of the Machine: The Rise of AI in Classic Science Fiction (British Library Publishing, 2019)

Aubry, Danielle, Du roman-feuilleton à la série télévisuelle: pour une rhétorique du genre et de la sérialité (Peter Lang, 2006)

Auer, P., ‘Anmerkungen Zum Salienzbegriff in Der Soziolinguistik’, Linguistik Online, 66.4 (2014), doi:https://doi.org/10.13092/lo.66.1569

Auerbach, Erich, Mimesis: dargestellte Wirklichkeit in der abendländischen Literatur, Sammlung Dalp, 11. Auflage (A. Francke Verlag, 2015)

Baayen, Harald, ‘Statistical Models for Word Frequency Distributions: A Linguistic Evaluation’, Computers and the Humanities, 26.5–6 (1992), pp. 347–63, http://doi.org/10.1007/BF00136980

Baayen, R. H., Analyzing Linguistic Data: A Practical Introduction to Statistics Using R (Cambridge University Press, 2008), doi:10.1017/CBO9780511801686

Babbie, Earl R., The Practice of Social Research / Earl Babbie, Internat. ed., 12. ed. (Wadsworth Cengage Learning, 2010)

Baccolini, Raffaella, ‘The Persistence of Hope in Dystopian Science Fiction’, PMLA, 119.3 (2004), pp. 518–21 <http://www.jstor.org/stable/25486067>

Baccolini, Raffaella, and others, ‘12 Transmedia Science Fiction and New Social Imaginaries’, in The Edinburgh Companion to the New European Humanities (Edinburgh University Press, 2024), pp. 229–54, doi:10.1515/9781399505208-016

Baeza-Yates, Ricardo, and Berthier Ribeiro Neto, Modern Information Retrieval (Harlow, 1999)

Baker, Paul, ‘Querying Keywords: Questions of Difference, Frequency, and Sense in Keywords Analysis’, Journal of English Linguistics, 32.4 (2004), pp. 346–59, http://doi.org/10.1177/0075424204269894

Baker, Susan, ‘Shakespearean Authority in the Classic Detective Story’, Shakespeare Quarterly, 46.4 (1995), pp. 424–48, http://doi.org/10.2307/2870981

Baker, Jennifer S., The Readers’ Advisory Guide to Historical Fiction, ALA Readers’ Advisory Series (ALA Editions, 2015) <http://site.ebrary.com/id/10959919>

Baker, L. Douglas, and Andrew Kachites McCallum, ‘Distributional Clustering of Words for Text Classification’, in Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval  - SIGIR ’98 (presented at the the 21st annual international ACM SIGIR conference, ACM Press, 1998), pp. 96–103, http://doi.org/10.1145/290941.290970

Barber, Ros, ‘Big Data or Not Enough? Zeta Test Reliability and the Attribution of Henry VI’, Digital Scholarship in the Humanities, 36.3 (2021), pp. 542–64, http://doi.org/10.1093/llc/fqaa041

Baron, Alistair, Paul Rayson, and Dawn Archer, ‘Word Frequency and Key Word Statistics in Historical Corpus Linguistics’, Anglistik, 20.1 (2009)

Bassi, Erica, ‘A Contrastive Analysis of Keywords in Newspaper Articles on the “Kyoto Protocol”’, in Keyness in Texts, 2010 <https://benjamins.com/catalog/scl.41.15bas>

Baudou, Jacques, La Science-fiction, Que sais-je?, 1e édition (Presses Universitaires de France - PUF, 2003)

Baumann, Christiane, and Gisela Lerch, Extreme Gegenwart: französische Literatur der 80er Jahre (Manholt, 1989)

Bedore, Pamela, The Routledge Introduction to Canadian Crime Fiction, 1st edn (Routledge, 2023), doi:10.4324/9781003125242

Beliga, Slobodan, ‘Keyword Extraction: A Review of Methods and Approaches’, University of Rijeka, Department of Informatics, Rijeka, 2014, pp. 1–9

Beliga, Slobodan, Ana Meštrović, and Sanda Martinčić-Ipšić, ‘Selectivity-Based Keyword Extraction Method’, International Journal on Semantic Web and Information Systems (IJSWIS), 12.3 (2016), pp. 1–26

Beliga, Slobodan, Ana Meštrović, and Sanda Martinčić-Ipšić, ‘An Overview of Graph-Based Keyword Extraction Methods and Approaches’, Journal of Information and Organizational Sciences, 39.1 (2015), pp. 1–20

Benois-Pineau, Jenny, and others, Explainable Deep Learning AI: Methods and Challenges (Elsevier, 2023)

Bentolila, Éric, ‘Le Roman Policier Français de 1970 et 2000 : Une Analyse Littéraire’ (unpublished These de doctorat, Université Grenoble Alpes (ComUE), 2016) <https://www.theses.fr/2016GREAL013>

Bereit, Virginia F., ‘The Genre of Science Fiction’, Elementary English, 46.7 (1969), pp. 895–900 <http://www.jstor.org/stable/41386588>