Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37723
Title: Automatic segmentation of Chinese chunks using a neural network
Authors: Wang, R
Chi, Z 
Keywords: Language translation
Linguistics
Natural languages
Neural nets
Issue Date: 2003
Source: Proceedings of the International Conference on Neural Networks and Signal Processing (ICNNSP'2003), Nanjing, China, 14-17 Dec. 2003, p. 96-99 How to cite?
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.
URI: http://hdl.handle.net/10397/37723
ISBN: 0-7803-7702-8
DOI: 10.1109/ICNNSP.2003.1279221
Appears in Collections:Conference Paper

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