Natural Language Processing
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. We develop algorithms and computational models to analyze and process large volumes of natural language data in order to extract meaning and insights from text, speech, and other forms of human communication.
About Us
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. We develop algorithms and computational models to analyze and process large volumes of natural language data in order to extract meaning and insights from text, speech, and other forms of human communication.
Artificial intelligence, or AI, is increasingly being integrated into our everyday lives. They are in our smartphones (e.g. Siri), facial recognition systems in Melbourne Airport, automatic captions on YouTube, and translations on Facebook, just to name a few examples. But how can we make AI truly understand
human language? This is an important question because language is uniquely human — it defines us and our intelligence. Through developing AI that understands language, our research marches one step closer to unlocking the mysteries of our language faculty.
Research & Publications
From medical technologies to machine translation to misinformation analysis, our group tackles a diverse range of natural language processing problems in different domains and applications, and is ranked one of the top groups internationally in the field.
Follow Us!
On LinkedIn: UniMelb NLP Group
On X (Twitter): @UniMelb_NLP
On RedNote (Xiaohongshu): 6662a5fb0000000007005723
Reading Group
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From MIT Media Lab to Facilitator Training
Speaker: Bryan (Ming-Bin Chen), Time: 2PM, 31/03/2025
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Evaluating Model Accuracy for Difficult Tasks in Natural Language Processing
Speaker: Denis Peskoff, Time: 11:00, 05/12/2025
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How to Improve Model Robustness? A Distributional-Discrepancy Perspective
Speaker: Jiacheng Zhang, Time: 11:00, 2/12/2025
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Do Vision-Language Models Reason Like Humans? Exploring The Functional Roles of Attention Heads
Speaker: Yanbei Jiang, Time: 11:00 28/10/2025
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Making Sense of Sparse Data with Maths and LLMs.
Speaker: Sebastien Christian Time: 14:00, 22/10/2025
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OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages
Speaker: Raphaël Merx, Time: 11:00, 30/09/2025
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Noiser: Bounded Input Perturbations for Attributing Large Language Models
Speaker: Reza Madani Time: 11:00, 23/09/2025
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Automatic reconstruction of human moralization
Guest Speaker: Aida Ramezani (from the University of Toronto), Time: 11:00, 16/09/2025
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How human-like is machine multilingualism?
Speaker: Zheng Wei Lim, Time: 11:00, 08/09/2025
Recent Completion Seminars
- 13 May 2026: Naomi Baes
- 23 January 2026: Jinrui Yang
- 07 August 2025: Miao Li
- 01 August 2025: Viktoria Schram
- 25 July 2025: Rena Gao
- 18 Jul 2025: Sayantan Dasgupta
- 13 June 2025: Zheng Wei Lim
- 30 April 2025: Gisela Vallejo
Recent Confirmation Seminars
- 12 March 2026: Shuhe Wang
- 24 February 2026: Shengxiang Gao
- 20 February 2026: Anudeex Shetty
- 12 November 2025: Shuo Yang
- 15 September 2025: Demian Inostroza Amestica
- 21 July 2025: Yanbei Jiang
- 7 July 2025: Damian Curran
- 3 April 2025: Matteo Guida
- 30 May 2025: Rafael Merx