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Language Media Lab
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A lab that studies AI that handles language, extending from dialogue to emotion and ethics.
AboutAbout the lab
How do we make machines understand language?
The Language Media Lab is an AI lab aiming for natural and safe language processing.
It seeks to reshape how machines understand and use natural language, from both creative and practical sides.
Going beyond classical natural language processing, the lab combines insights from various fields with both the latest and past results in AI.
In a multicultural group that spans disciplines, students can choose their own research topics, with bilingual supervision and support for studying abroad.
Key terms
- Natural language processing
- Technology that enables computers to handle the language people use in everyday life
- Pragmatics
- The aspect of language concerned not with the meaning of words themselves but with how what is conveyed changes depending on the situation and the listener
- Utilitarianism
- An ethical view that judges whether an action is good or bad by how much it contributes to the happiness of the greatest number of people
ResearchResearch themes
The lab works on natural and safe language processing, aiming to reshape the way machines understand and use natural language. Its approach is interdisciplinary, covering a wide range from dialogue processing and knowledge acquisition to emotion, ethics, humor, and metaphor.
*Illustrative imageDialogue Processing
The lab treats the naturalness of dialogue not only in terms of meaning but also in terms of pragmatics. It studies a wide range of dialogue-related topics, from speech features such as intonation to user modeling and memory.
*Illustrative imageLanguage and Knowledge Acquisition
The lab studies how machines can acquire knowledge efficiently, from common sense to specialized legal knowledge. Through experiments using semantic primes, the basic elements of meaning, it explores ways to perceive and learn about the world in a more human-like way.
*Illustrative imageAffective Computing
For machines to understand human emotion is important for using AI in daily life, as well as for ethics, language acquisition, and humor processing. ML-ASK, an emotion analysis library developed by the lab, is widely used.
*Illustrative imageMoral Machine
Since 2005, the lab has worked on algorithms for ethical decision-making. It combines classical ethical theories such as utilitarianism and deontology with mechanisms for collecting the judgments of many people.
MembersFaculty
The members of the Language Media Lab consist of faculty and doctoral, master's, and undergraduate students.
- Associate ProfessorToshihiko Itoh
- Associate ProfessorRafal Rzepka
- Assistant ProfessorNaofumi Aoki
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Rosetta Stone” Hans Hillewaert / CC BY-SA 4.0 (cropped)
- Dialogue Processing: “Chris Potter - 3D Tin Can Phones” Chris Potter / CC BY 2.0 (cropped)
- Language and Knowledge Acquisition: “Hamamatsu Municipal Sakuma Library reading room ac (2)” Asturio Cantabrio / CC BY-SA 4.0 (cropped)
- Affective Computing: “Comedy and tragedy masks from the Princess Theatre, Decatur, AL image by Marjorie Kaufman” MiltonPoint / CC BY-SA 4.0 (cropped)
- Moral Machine: “Antique Scale (pingnews) ( )” pingnews.com / CC BY-SA 2.0 (cropped)
- Related lab (Information Knowledge Network Lab): “Code on computer monitor (Unsplash)” Markus Spiske markusspiske / CC0 (cropped)
- Related lab (Intelligent Software Lab): “Yujing Line expressway and Provincial Highway at midnight” Guanting Chen / CC BY-SA 4.0 (cropped)
- Related lab (System Control Theory Lab): “Attracteur étrange de Lorenz” Rogilbert / Public domain (cropped)
- Related lab (Knowledge Base Lab): “UIUC Library Main Stacks” Chevsapher / CC0 (cropped)
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