Automatic segmentation of Chinese chunks using a neural network

Rongbo Wang, Zheru Chi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Chunk analysis method is a new idea proposed in recent years in developing new machine translation methods. Chinese chunk analysis plays a very important role in machine translation from Chinese to foreign languages. The automatic segmentation of Chinese chunks is the basis of Chinese chunk analysis. It is important for processing real text and corpus construction. This paper presents a method for automatic segmentation of Chinese chunks based on 3-layers neural networks. The corpus we used has been processed with Chinese word segmentation and phrase identification and tagging. In the neural networks model, the input data is the segmentation situation of every character and its combinations with neighbor characters in a Chinese sentence. The output is the segmentation results of every character in a Chinese sentence. The preliminary results show that the method is feasible and effective.
Original languageEnglish
Title of host publicationProceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages96-99
Number of pages4
Volume1
DOIs
Publication statusPublished - 1 Dec 2003
Event2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China
Duration: 14 Dec 200317 Dec 2003

Conference

Conference2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
CountryChina
CityNanjing
Period14/12/0317/12/03

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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