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In this talk I examine the role of humanities research where nearly every aspect of human experience is turned into data and analysed, in many cases to model, predict and modify behaviour. As a result and through advances in computing technology, artificial intelligence systems have colonised traditional areas of humanities research, including linguistics and language studies. Today, large multimodal models (LMM) can process text, images, videos and sound, potentially leading to the development of algorithmic approaches to modelling society and culture. In this talk, I explore how humanities researchers can leverage the benefits and mitigate the risks of these latest technological developments and prepare scholars for the challenges which lie ahead. I provide some examples from the Digital Media and Society Institute (DMSI) at the University of Liverpool where communication and media researchers are working with data scientists to investigate how multimodal information is re-contextualised across online media platforms. This includes new methods for studying information distortions (e.g. misinformation, disinformation and memes) and public reactions to key events.
Event date: 31/03/2025
Speaker: Professor Kay O’HALLORAN (University of Liverpool)
Hosted by: Faculty of Humanities
- Keywords:
- Artificial intelligence Research Humanities -- Research
- Resource Type:
- Video
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Video
People are now regularly interacting with voice assistants (VAs), which are conversational agents that allow users to use spoken language to interface with a machine to complete tasks. The huge adoption and daily use of VAs by millions of people - and its increasing use for financial, healthcare, and educational applications - raises important questions about the linguistic and social factors that affect spoken language interactions with machines.
We are exploring issues of linguistic and social biases that impact speech communication in human-computer interaction - particularly during cross-language transfer, learning, or adaptation of some kind. In this talk, I will present two case studies illustrating some of our most recent work in this area. The first study looks at a case of cross-language ASR transfer. We find systematic linguistic and phonetic disparities in language transfer by machines trained on a source language to speech recognition of a novel target, low-resource language. The second study looks at a case of social bias in word learning by humans using voice-enabled apps. We find the word learning is inhibited when there are mismatching social cues presented by the voice and the linguistic information.
Together, along with highlights from other ongoing work in my lab, the aim of this talk is to underscore that human-computer linguistic communication is a rich testing ground for investigating issues in speech and language variation. Examining linguistic variation during HCI can enrich and elaborate linguistic theory, as well as present opportunities for linguists to provide insights for improving both the function and fairness of these technologies.
Event date: 25/03/2025
Speaker: Professor. Georgia ZELLOU (University of California, Davis)
Hosted by: Faculty of Humanities
- Subjects:
- Communication and Language and Languages
- Keywords:
- Linguistics English language -- Variation Speech processing systems English language -- Spoken English Human-computer interaction
- Resource Type:
- Video
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Video
In this talk, I will present the results of several studies examining qualitative and quantitative empirical research articles from applied linguistics. The studies use both corpus-based analyses and rhetorical genre analysis to describe similarities and differences across the two paradigms. Each of the studies draws on a corpus of published studies from journals that regularly publish both quantitative and qualitative articles on the topic of language learning and teaching.
I first describe the compilation of the corpus, which currently includes 863 studies from 2013 to 2023, and explain some of the challenges involved in using copyrighted materials in a time of calls for open science. Next, I explain the rationale for comparing qualitative and quantitative research in a subfield of applied linguistics. Specifically, I talk about the challenges of a field in which there appears to be a widening divide in the nature of research in the two paradigms along with unsubstantiated claims in research manuals characterizing the two paradigms.
The bulk of the talk will focus on my and my collaborators’ research agenda using our created corpus. Two of the studies focus on the role of theory in the empirical studies. The first study used a corpus-based analysis of the frequency and collocations of the lemma theor- while the second used rhetorical move analysis to show how theory was used in structuring literature reviews. Both studies revealed differences in the role of theory in the two paradigms that show how language choice and rhetorical moves reflect their epistemologies. The third study focused on citation use and revealed some differences, but more similarities. Finally, we have two studies in progress examining article structure and lexical bundles. Taken together, both studies show that quantitative research is more structured and predictable. I end by suggesting possible extensions of our research using qualitative methods.
The final part of this talk will explain the relevance of this research to both teaching academic writing and to the field of applied linguistics. With regard to teaching writing, I will give specific examples of how the various analyses used in the five studies can be transferred to heterogeneous writing classes to help students explore conventions in their own fields. Second, I explain how the studies suggest a widening gap between the two paradigms and how this gap presents problems for graduate programs, journals, and professional organizations, all of which, I argue, need to be more sensitive to acknowledging research in both paradigms.
Event date: 12/03/2025
Speaker: Professor Charlene POLIO (Michigan State University)
Hosted by: Faculty of Humanities
- Subjects:
- English Language
- Keywords:
- Applied linguistics -- Research Corpora (Linguistics) Academic writing
- Resource Type:
- Video