Skip to main navigation Skip to search Skip to main content

Chinese word segmentation based on mixing model

  • Harbin Institute of Technology

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents our recent work for participation in the Second International Chinese Word Segmentation Bakeoff. According to difficulties, we divide word segmentation into several sub-tasks, which are solved by mixed language models, so as to take advantage of each approach in addressing special problems. The experiment indicated that this system achieved 96.7% and 97.2% in F-measure in PKU and MSR open test respectively.

Original languageEnglish
Pages180-182
Number of pages3
StatePublished - 2005
Event4th SIGHAN Workshop on Chinese Language Processing at the 2nd International Joint Conference on Natural Language Processing, SIGHAN@IJCNLP 2005 - Jeju Island, Korea, Republic of
Duration: 14 Oct 200515 Oct 2005

Conference

Conference4th SIGHAN Workshop on Chinese Language Processing at the 2nd International Joint Conference on Natural Language Processing, SIGHAN@IJCNLP 2005
Country/TerritoryKorea, Republic of
CityJeju Island
Period14/10/0515/10/05

Fingerprint

Dive into the research topics of 'Chinese word segmentation based on mixing model'. Together they form a unique fingerprint.

Cite this