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Miyao Lab
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The lab conducts research in natural language processing, enabling computers to understand human language.
AboutAbout the lab
Uncovering how language works through computation
The Miyao Lab studies how to enable computers to understand the language that people use every day (natural language).
To do so, it is necessary to clarify the mechanisms by which natural language and human thought operate.
The lab studies fundamental natural language analysis techniques and mathematical models, including syntactic parsing, semantic analysis, and grounding.
The lab's strength lies in research that draws on linguistics, such as syntax and formal semantics, and on computer science, such as formal grammar and machine learning.
Key terms
- Syntactic parsing
- A technology that uses computers to determine how a sentence is put together, such as by splitting it into words and identifying which words modify which
- Recognizing textual entailment
- A technology that compares two sentences and determines whether, if one is true, the other must also be true, or at least whether they do not contradict each other
- Grounding
- Linking concepts expressed in language to non-linguistic information such as images and data
NewsLab news
View More ↗ResearchResearch themes
The lab studies mathematical models and algorithms for reproducing natural human communication in natural language on computers. Its work ranges from analyzing sentence structure and meaning, to linking language with non-linguistic information, to understanding meaning in dialogue.
*Illustrative imageSyntactic Parsing
The lab studies theories and techniques for analyzing sentence structure. It develops the parsers Enju and Jigg, which can also output semantic structure, and works on improving parsing accuracy and speed and on building the linguistic resources needed for training.
*Illustrative imageSemantic Analysis
This research clarifies the mechanisms that determine when different expressions can be said to have the "same meaning." The lab works on recognizing textual entailment and on semantic parsing, which converts sentences into representations such as logical formulas.
*Illustrative imageGrounding
This research links concepts expressed in language to non-linguistic information such as images, video, databases, and time-series numerical data. Examples include research on describing the content of photos and videos in sentences.
*Illustrative imageSemantic Understanding in Dialogue Systems
Aiming at systems that can converse like a human, the lab studies how to understand human utterances. It researches foundational technologies for applying natural language processing to language understanding in dialogue systems.
MembersFaculty
The members of the Miyao Lab consist of faculty, project specialists, project researchers, visiting researchers, doctoral and master's students, government-sponsored international students, exchange students, special research students, and research students.As of 2026
- ProfessorYusuke MiyaoPublications ↗
- Assistant ProfessorTakuto AsakuraPublications ↗
- Project Assistant ProfessorJason Naradowsky
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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)
- Syntactic Parsing: “Syntax tree (10) what will Sophie eat” Livdorothy / CC BY-SA 4.0 (cropped)
- Semantic Analysis: “Rain over Holma marina” W.carter / CC0 (cropped)
- Grounding: “Ski resort on a snowy slope (Unsplash)” Nathan Anderson nathananderson / CC0 (cropped)
- Semantic Understanding in Dialogue Systems: “Glossy 3d blue conversation” Mysitemyway.com / CC BY 1.0 (cropped)
- Related lab (谷中研究室): “Bookshelves and interior of the library of the Academy for Judiciary” Szeronine / CC BY 4.0 (cropped)
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- Related lab (山崎研究室): “Quantum Computer with Dispersive Background 002” OJB Quantum / CC BY 4.0 (cropped)
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