Tag: AI

May
30
2026

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We wrapped up our plenary sessions with an impactful final talk by Dr. Natalia Levshina (Radboud University, The Netherlands.) titled “Linguistic Annotation of Corpora in the age of AI.”

​Dr. Levshina explored the evolution of AI terminology before diving into the critical, often hidden costs of modern models—including data privacy risks, financial burdens, and high carbon emissions. To counter these challenges, she proposed a set of best practices for researchers. Notably, she advocated for utilizing local, smaller, and open-source Large Language Models (LLMs) for linguistic tasks, offering a more sustainable, energy-conscious alternative to massive commercial infrastructure.

​Thank you to Dr. Levshina for closing our plenary series with such a vital call for responsible, mindful innovation!

May
28
2026

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Prof. Laurence Anthony at ICAME47

The main conference programme of ICAME47 opened on 27th May with a captivating one-hour plenary by one of the most celebrated figures in corpus linguistics, Professor Laurence Anthony of Waseda University. Speaking on “Advancing Corpus Linguistics with Small, Local and Multimodal AI Language Models,” he explored how generative AI and modern language models can be brought together with established corpus linguistic methods to open up new avenues of analysis. Professor Anthony, who holds the National Prize of the Japan Association for English Corpus Studies and is best known worldwide for his AntConc software, kept the audience thoroughly engaged throughout. The highlight was a series of live demonstrations in which he used AntConc to analyse multimodal corpora, integrating large language models and other AI tools to show how they can complement the work of a corpus linguist. It was an inspiring and fitting start to the main conference, leaving participants with much to reflect on as the days unfold.

May
27
2026

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After a full day of pre-conference workshops yesterday, our welcoming session opened with words from University President Prof. Dr. Wehner and Faculty 2 Dean Prof. Dr. Neuhaus, before JProf. Andreas Weilinghoff got things officially flowing 🌊

We then dove straight into the deep end with our first plenary talk by Laurence Anthony, exploring this year’s conference motto ‘Confluentes’ — where AI and corpus linguistics meet. While corpus linguistics and generative AI share deep roots, they diverge significantly in how they handle data, interaction, and transparency. Anthony made a compelling case for how integrating AI into established corpus tools like AntConc (which he developed) can bridge that gap, opening new possibilities for multimodal analysis while keeping transparency and validity in focus.

Day 1 is off to a great start – more to come!