LAB LOGA page on LabLog, a review site (not the lab's official page)
Natural Language Processing Lab
Machine-translated · View original
A lab that studies natural language processing, which enables machines to understand and process human language.
AboutAbout the lab
Machines that understand and process human language.
The Natural Language Processing Lab studies technologies that enable machines to understand and process human languages such as Japanese and English.
The lab uses statistical methods that automatically acquire various rules and information from large volumes of text data such as patent documents and newspaper articles, and also studies applying these technologies to the web.
Research topics differ from student to student, and members share each other's work through a weekly lab seminar and rotating presentations of English-language papers.
On the lab's website, it is introduced as the natural language processing group of the Intelligent Informatics and Bioengineering Lab.
Key terms
- Statistical methods
- An approach in which a computer automatically discovers rules and information based on large amounts of data
- Sentiment analysis (reputation analysis)
- A technology that classifies whether opinions written in web text are positive or negative
- Statistical machine translation
- A machine translation method in which a computer automatically learns translation rules from large numbers of parallel translation examples
ResearchResearch themes
The lab studies technologies for machines to understand and process human language by statistically learning from large volumes of text data. Because much human knowledge is written in language, the lab believes that if machines can understand language, they will be able to support human intellectual work. Note that the research themes are introduced based on the website's content up to around 2018.
*Illustrative imageExtracting and Classifying Opinions on the Web
The lab studies technologies that automatically extract and organize people's opinions from web and blog text. The focus is on foundational technologies for sentiment analysis, which classifies whether an opinion is positive or negative.
*Illustrative imageIdentifying the Main Content of Web Pages
The lab studies methods for identifying the main content of a web page, excluding elements such as menus and copyright notices, without people having to prepare rules. This is because creating extraction rules by hand for each page is difficult.
*Illustrative imageStatistical Machine Translation
The lab studies methods by which computers automatically learn translation rules from large numbers of parallel translation examples. It works on translation models, language models, and decoders that search for the correct solution.
*Illustrative imageRecommender Systems
The lab proposes a statistical model that combines a method using usage information from similar users (collaborative filtering) with a method that finds similar content based on user preferences (content-based filtering). Assuming a system that uses Wikipedia edit history to recommend the next item to view, it showed that the model can make effective recommendations.
MembersFaculty
The lab's members consist of faculty, master's students, and fourth-year undergraduate students.As of 2026
- ProfessorMikio Yamamoto
- Associate ProfessorTakashi Inui
- Associate ProfessorSho Tsugawa
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Natural Language Processing Lab
Machine Learning and Language Understanding LabSchool of Informatics, College of Media Arts, Science and TechnologyMachine learning, data mining
Chaos LabSchool of Informatics, College of Media Arts, Science and TechnologyDevelopment of image and sound engines for computer amusemen…
Graphic Design LabSchool of Informatics, College of Media Arts, Science and TechnologyResearch on graphic design, visual information representatio…
Programming Language LabSchool of Informatics, College of Media Arts, Science and TechnologyResearch on programming language processing systems (compile…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “Numerical Keys on a Vintage Typewriter” Mathieu Landretti / CC BY-SA 4.0 (cropped)
- Extracting and Classifying Opinions on the Web: “Vecteezy stack-of-newspaper 1961329” Bernerlover / CC BY 4.0 (cropped)
- Identifying the Main Content of Web Pages: “Tim Berners-Lee’s proposal for a World Wide Web hypertext proposal, notice board, CERN” Mramoeba / CC0 (cropped)
- Statistical Machine Translation: “BilingualDictionaries” w:User:LinguistAtLarge / CC BY-SA 3.0 (cropped)
- Recommender Systems: “Shopping online with bank card” Bogdan Hoyaux / European Commission / CC BY 4.0 (cropped)
- Related lab (Machine Learning and Language Understanding Lab): “Chess game Staunton No. 6” Wilfredor / CC0 (cropped)
- Related lab (Chaos Lab): “Hyperkomplexe Mandelbrot-Menge HQ 20190908” PantheraLeo1359531 / CC BY-SA 4.0 (cropped)
- Related lab (Graphic Design Lab): “Real-time and pre-rendered rendering comparison” Adamgmz / CC BY-SA 4.0 (cropped)
- Related lab (Programming Language Lab): “Closeup of keys” John Snyder / CC BY-SA 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.