Språkteknologi för språkvetare

Glass, L., Dickinson, M., Brew, C. & Meurers, D. (2024). Language and computers. 2:a utg. (Textbooks in Language Sciences 14). Berlin: Language Science Press. https://doi.org/10.5281/zenodo.12730906 (Nätpublicerad)

Goldsmith, J. (u.d.) Probability for linguists. https://people.cs.uchicago.edu/\~jagoldsm/Papers/probability.pdf (Nätpublicerad) Läses s. 1–13.

Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review 61(4), 5–14. DOI: 10.1177/0008125619864925 (Tillgänglig via UB)

Hovy, E., & Lavid, J. (2010). Towards a ‘science’ of corpus annotation: a new methodological challenge for corpus linguistics. International Journal of Translation 22(1), 13 - 36. https://www.cs.cmu.edu/\~hovy/papers/10KNS-annotation-Hovy-Lavid.pdf (Nätpublicerad)

IBM Cloud Education (2020) What is Natural Language Processing. https://moodle.cornellcollege.edu/pluginfile.php/297387/mod_resource/content/2/nlp-notes.pdf. (Nätpublicerad)

Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons 62(1), 15–25. DOI: 10.1016/j.bushor.2018.08.004 (Tillgänglig via UB)

Søgaard, A. (2022). Should We Ban English NLP for a Year?. In Proceedings of the 2022 conference on empirical methods in natural language processing, pp. 5254–5260. https://aclanthology.org/2022.emnlp-main.351.pdf (Nätpublicerad)

Terkourafi, M. (2025). An ethics for linguistics? What, why, and how?. Linguistics 63(2), 317-347. DOI: 10.1515/ling-2024-0159 (Tillgänglig via UB)

Volodina, E., Alfter, D., Tiedemann, T. L., Lauriala, M., & Piipponen, D. (2021). Reliability of automatic linguistic annotation: native vs non-native texts. In CLARIN annual conference, pp. 151–167. https://doi.org/10.3384/ecp18914 (Nätpublicerad)

Volodina, E., Granstedt, L., Matsson, A., Megyesi, B., Pilán, I., Prentice, J., Rosén, D., Rudebeck, L., Schenström, C.J., Sundberg, G. and Wirén, M., 2019. The SweLL language learner corpus: From design to annotation. Northern European Journal of Language Technology 6, pp.67-104. https://doi.org/10.3384/nejlt.2000-1533.19667 (Nätpublicerad)

Volodina, E., Mohammed, Y. A., Derbring, S., Matsson, A., & Megyesi, B. (2020). Towards privacy by design in learner corpora research: A case of on-the-fly pseudonymization of Swedish learner essays. In Proceedings of the 28th international conference on computational linguistics, pp. 357-369. https://doi.org/10.18653/v1/2020.coling-main.32 (Nätpublicerad)

Södahl Bladsjö, T., & Sánchez, R. M. (2025). Introducing MARB—A Dataset for Studying the Social Dimensions of Reporting Bias in Language Models. In Proceedings of the 6th workshop on gender bias in natural language processing (GeBNLP), pp. 59-74. https://doi.org/10.18653/v1/2025.gebnlp-1.5 (Nätpublicerad)

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