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Dobson, J. (2020). Interpretable Outputs: Criteria for Machine Learning in the Humanities. Digital Humanities Quarterly, 15(2). http://digitalhumanities.org:8081/dhq/vol/15/2/000555/000555.html

Dobson, J. (2022). Vector hermeneutics: On the interpretation of vector space models of text. Digital Scholarship in the Humanities, 37(1). DOI: https://doi.org/10.1093/llc/fqab079

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Grallert, T. (2022). Open Arabic Periodical Editions: A Framework for Bootstrapped Scholarly Editions Outside the Global North. Digital Humanities Quarterly, 16(2). http://digitalhumanities.org:8081/dhq/vol/16/2/000593/000593.html 

Hamilton, S., & Piper, A. (2023). MultiHATHI: A Complete Collection of Multilingual Prose Fiction in the HathiTrust Digital Library. Journal of Open Humanities Data, 9(3). DOI: https://doi.org/10.5334/johd.95

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Lee, A. S., Chiarawongse, P., Guldi, J., & Zsom, A. (2020). The Role of Critical Thinking in Humanities Infrastructure: The Pipeline Concept with a Study of HaToRI (Hansard Topic Relevance Identifier). Digital Humanities Quarterly, 14(3). http://digitalhumanities.org:8081/dhq/vol/14/3/000481/000481.html 

Le-Khac, L., & Hao, K. (2021). The Asian American Literature We’ve Constructed. Journal of Cultural Analytics 6(2). DOI: https://doi.org/10.22148/001c.22330

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Ravenscroft, A., Allen, C. (2019). Finding and Interpreting Arguments: An Important Challenge for Humanities Computing and Scholarly Practice. DHQ: Digital Humanities Quarterly, 13(4). http://digitalhumanities.org:8081/dhq/vol/13/4/000436/000436.html

Schmidt, B. (2018). Stable random projection: Lightweight, general-purpose dimensionality reduction for digitized libraries. *Journal of Cultural Analytics, 3*(1). DOI: 10.22148/16.025

Shanahan, J., Burke, R., Lučić, A. (2020). Reading Chicago Reading: Quantitative Analysis of a Repeating Literary Program. DHQ: Digital Humanities Quarterly, (14)2. http://digitalhumanities.org:8081/dhq/vol/14/2/000461/000461.html

Sinykin, D., Roland, E. (2021). Against Conglomeration: Nonprofit Publishing and American Literature After 1980. Journal of Cultural Analytics, 6(2). DOI: 10.22148/001c.22331

Sobchuk, O. , & Šeļa, A. (2024). Computational thematics: Comparing algorithms for clustering the genres of literary fiction. Humanities and Social Sciences Communications, 11(438). DOI: 10.1057/s41599-024-02933-6

Sobchuk, O. & Beheim, B. (2025). Does literature evolve one funeral at a time? Proceedings of the Royal Society B, 292:20242033. http://doi.org/10.1098/rspb.2024.2033

Soto-Corominas, A., De la Rosa, J., & Suárez, J. L. (2018). What Loanwords Tell Us about Spanish (and Spain). Digital Studies/le Champ Numérique, 8(1), 4. DOI: 10.16995/dscn.297

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