Back to Results
First PageMeta Content
Theoretical computer science / Vietnamese language / Statistical classification / Support vector machine / Syllable / Vietnamese alphabet / Part-of-speech tagging / Text segmentation / Pattern recognition / Linguistics / Machine learning / Conditional random field


Vietnamese Word Segmentation with CRFs and SVMs: An Investigation Cam-Tu Nguyen1, Trung-Kien Nguyen1, Xuan-Hieu Phan2 Le-Minh Nguyen2, and Quang-Thuy Ha1 2
Add to Reading List

Document Date: 2007-03-24 11:17:34

Open Document

File Size: 139,63 KB

Share Result on Facebook

City

Lancaster / Mai / Learning / L.A. / Technology / Hanoi / Genetics Algorithm / /

Company

Marks(00) External Resources / Computer Sciences / Toan N.V. / /

Country

United States / Vietnam / Korea / United Kingdom / /

/

Event

Product Issues / Product Recall / /

Facility

Corpus building / Corpus Building Building / Vietnam National University / College of Technology / Japan Advanced Institute of Science / Beijing University / /

IndustryTerm

multi-level processing / higher language processing levels / online corpus approach / segmentation systems / higher applications / /

OperatingSystem

Syllable / /

Organization

Hanoi School of Information Science / College of Technology / SC SC / Vietnam National University / Ministry of Science and Technology / Japan Advanced Institute of Science and Technology / Beijing University / North American Chapter / Association for Computational Linguistics / /

Person

Sha / Rim Symposium / /

Product

The average precision / SVMs / CRFs / /

ProgrammingLanguage

C++ / /

ProvinceOrState

North Carolina / Massachusetts / /

PublishedMedium

Computational Linguistics / Machine Learning / /

Region

Pacific Rim / /

Technology

Human Language Technology / speech recognition / Natural Language Processing / finite state machine / 90 Information Technology / machine learning / using Viterbi algorithm / /

URL

http /

SocialTag