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Language Media Lab
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The lab seeks to understand language with computers and uncover how AI works.
AboutAbout the lab
Understanding language with computers.
The Language Media Lab studies technologies for processing language with computers and their applications.
Language is a vital element supporting human intelligence, one of the most important media for communication, and also a medium that conveys knowledge across time.
The lab has released many language resources, including a Japanese parser and case frames.
Recently, it has been working on understanding how large language models work, as well as on machine translation and language acquisition.
Key terms
- Machine translation
- Automatically translating text from one language into another by computer.
- Large language model
- An AI that learns from large amounts of text and can understand and generate text like a person.
- Anchoring effect
- The tendency for later judgments to be pulled toward the first number or information presented.
NewsLab news
View More ↗ResearchResearch themes
The lab studies technologies for processing language with computers and their applications. In its recent publications, it has addressed the internal mechanisms of large language models, language acquisition, machine translation, and the evaluation of AI creativity.
*Illustrative imageUncovering How Large Language Models Work
The lab studies the anchoring effect, in which a large language model's judgments are pulled toward the first information it receives. It seeks to understand the mechanism through interventions on attention heads and to mitigate the effect.
*Illustrative imageAI for Studying Second Language Acquisition
The lab builds large language models trained on a single language only and uses them as tools for investigating second language acquisition.
*Illustrative imageDoes Translation Preserve the Speaker's Individuality?
The lab quantitatively investigates how much of a speaker's individuality is preserved when speech or text is translated across languages.
*Illustrative imageEvaluating AI Creativity
To evaluate the creativity of AI-generated stories and other works, the lab studies a framework for examining how closely human evaluations and large language model evaluations agree.
MembersFaculty
The faculty of the Language Media Lab are Associate Professor Yugo Murawaki, Associate Professor Chenhui Chu, Program-Specific Lecturer Fei Cheng, Program-Specific Assistant Professor Yin Jou Huang, and Program-Specific Assistant Professor Jivnesh Balasaheb Sandhan.
- Associate ProfessorYugo Murawaki
- Associate ProfessorCHU Chenhui
- Program-Specific LecturerCHENG Fei
- Program-Specific Assistant ProfessorHUANG Yin Jou
- Program-Specific Assistant ProfessorSANDHAN Jivnesh Balasaheb
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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: “T-SNE visualisation of word embeddings generated using 19th century literature” Siobhán Grayson / CC BY-SA 4.0 (cropped)
- Uncovering How Large Language Models Work: “Language model context understanding” Cepice / CC BY-SA 4.0 (cropped)
- AI for Studying Second Language Acquisition: “488th IS opens language-learning facility to tri-base Airmen, civilians (6542108)” U.S. Air Force photo by Karen Abeyasekere / Public domain (cropped)
- Does Translation Preserve the Speaker's Individuality?: “Translation for French and Portuguese” Peace Corps / Public domain (cropped)
- Evaluating AI Creativity: “Tere Marichal, storyteller from Puerto Rico, telling the afro-caribbean folktale of Anansi at Biblioteca Juvenil de Mayagüez during a Multicultural Children's Book Day activity” Biblioteca Juvenil Mayaguez (talk · contribs) / CC BY-SA 4.0 (cropped)
- Related lab (Transmission Media Lab): “Fiber optic cable installation (rubin- )” Rubin Observatory/NSF/AURA / CC BY 4.0 (cropped)
- Related lab (Information Circuit Architecture Lab): “Micro-chips wafer (25079)” Syced / CC0 (cropped)
- Related lab (Applied Superconductivity Lab): “Levitation superconductivity” Julien Bobroff, Frederic Bouquet, LPS, Orsay, France / CC BY-SA 3.0 (cropped)
- Related lab (Radio Science Simulation Lab): “Lofoten, Norway (Unsplash)” Johannes Groll followhansi / CC0 (cropped)
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