I've been working on several different strands of research: algorithmic bias in language technologies, sociolinguistic variation in Scottish English and, in particular, questions related to the Lothian Diary Project.

Language technologies & algorithmic bias

2022 Nina Markl (Commercial) Automatic Speech Recognition as a Tool in Sociolinguistic Research University of Pennsylvania Working Papers in Linguistics: Vol. 28: Iss. 2, Article 11. https://https://repository.upenn.edu/pwpl/vol28/iss2/11 [paper] [talk]

2022 Nina Markl Language variation and algorithmic bias: understanding algorithmic bias in British English automatic speech recognition In 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22). Association for Computing Machinery, New York, NY, USA, 521–534. https://doi.org/10.1145/3531146.3533117 [paper] [short talk] [long talk]

2022 Nina Markl and Stephen Joseph McNulty Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR In Proceedings of the Language Resources and Evaluation Conference 2022, pp. 6328-6339 [paper] [long talk]

2022 Nina Markl Mind the data gap(s): Investigating power in speech and language datasets. Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, pp. 1–12, Dublin, Ireland. Association for Computational Linguistics. https://aclanthology.org/2022.ltedi-1.1/ [paper]

2021 Nina Markl "Hey Siri, why don't you understand me?" Speech and Language Technologies, Language Variation & Algorithmic Bias Language in Context Seminar Series, University of Edinburgh, 15 October, online talk [slides]

2021 Nina Markl Predictive Bias in English language Automatic Speech Recognition: the role of speech datasets Linguistics and English Language Postgraduate Conference, 10-12 June, online. talk [slides]

2021 Nina Markl and Catherine Lai. Context-sensitive evaluation of automatic speech recognition: considering user experience & language variation. Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing at EACL. [paper]

2020 Laurie Burchell, Jie Chi, Tom Hosking, Nina Markl, Bonnie Webber. Querent Intent in Multi-Sentence Questions. Proceedings of the 14th Linguistic Annotation Workshop at COLING. [paper]

Sociolinguistic variation & sociophonetics

2021 Nina Markl Using commercial automatic speech recognition in sociolinguistic research 49th New Ways of Analyzing Variation (NWAV), 19-24 October, online (Austin) [talk]

2021 Nina Markl (HW) in Edinburgh: Variation and Change in a complex consonantal variable 13th UK Language Variation and Change (UKLVC), 8-10 September, online (Glasgow) talk [slides]

2019 Lauren Hall-Lew, Nina Markl, Brandon Papineau and Matthew Sung. Regional and Social Variation in Scottish T-glottaling. (Poster) 12th UK Language Variation and Change (UKLVC), 3–5 September [poster]

2019 Nina Markl A sociophonetic study of /e/ and /o/ in Leith, Edinburgh 9th Undergraduate Linguistics Association of Britain (ULAB), 11-14 April [talk]

2019 Nina Markl Austrian Standard German: A national variety of German? 8th Undergraduate Linguistics Association of Britain (ULAB), 08-10 April [talk]

Lothian Diary Project

2022 Cowie Claire, Hall-Lew Lauren, Elliott Zuzana, Klingler Anita, Markl Nina, McNulty Stephen Joseph Imagining the city in lockdown: Place in the COVID-19 self-recordings of the Lothian Diary Project. Frontiers in Artificial Intelligence, 5. https://doi.org/10.3389/frai.2022.945643 [paper]

2022 Lauren Hall-Lew, Claire Cowie, Catherine Lai, Nina Markl, Stephen Joseph McNulty, Shan-Jan Sarah Liu, Clare Llewellyn, Beatrice Alex, Zuzana Elliott & Anita Klingler The Lothian Diary Project: sociolinguistic methods during the COVID-19 lockdown. Linguistics Vanguard, 8 (s3), pp. 321-330. https://doi.org/10.1515/lingvan-2021-0053 [paper]

2021 Lauren Hall-Lew, Claire Cowie, Stephen Joseph McNulty, Nina Markl, Shan-Jan Sarah Liu, Catherine Lai, Clare Llewellyn, Beatrice Alex, Nini Fang, Zuzana Elliott, Anita Klingler The Lothian Diary Project: Investigating the Impact of the COVID-19 Pandemic on Edinburgh and Lothian Residents. Journal of Open Humanities Data, 7, p.4. [paper]

2021 Shan-Jan Sarah Liu, Lauren Hall-Lew, Clare Llewellyn, Nina Markl, Stephen McNulty Gendered COVID-19: How Scotland Experienced the Lockdown GenderED blog [blog]