[1]张志强[],张太红[][],等. 一种基于词树的高效解码算法[J].计算机技术与发展,2017,27(08):43-46.
　ZHANG Zhi-qiang[],ZHANG Tai-hong[][],DONG Luan[][]. An Efficient Decoding Algorithm Based on Word Tree[J].,2017,27(08):43-46.
点击复制

 一种基于词树的高效解码算法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年08期
页码:
43-46
栏目:
智能、算法、系统工程
出版日期:
2017-08-10

文章信息/Info

Title:
 An Efficient Decoding Algorithm Based on Word Tree
文章编号:
1673-629X（2017)08-0043-04
作者:
 张志强[1]; 张太红[1][2]; 董峦[1][3]
1. 新疆农业大学 计算机与信息工程学院；2.中国农业大学 信息与电气工程学院；3.河海大学 计算机与信息工程学院
Author(s):
 ZHANG Zhi-qiang[1]; ZHANG Tai-hong[1][2] ; DONG Luan[1][3]
关键词:
 ; 拼音分词; 词树; 语言模型; n-gram模型; 音字转换
Keywords:
 ; phonetic word segmentation; lexicon tree; language model; n-gram model; Pinyin-Chinese character transform
分类号:
TP391.1
文献标志码:
A
摘要:
 音字转换是汉语言信息处理的一个重要方面,在语音识别、汉语拼音输入等方面都有广泛的应用.为了找到一种行之有效的音字转换解码算法,在研究拼音分词与词树理论并分析词树求解过程的基础上,提出了基于语言模型实现音字转换的高效解码算法.该算法采用零概率重估、路径剪枝和多音字处理等多项技术,通过对词树进行的剪枝处理、对常用词的处理以及对解码过程中所产生多音字的处理,实现了普遍意义上的音字转换.为验证所提算法的有效性和可行性,基于新疆维吾尔自治区科技计划项目《多语种民族特色文化信息资源处理及共享服务平台》所提供的三组数据进行了对比实验.实验结果表明,提出的新算法取得了97.78%的转换准确率,优于其他传统算法.
Abstract:
 Phonetic conversion is an important aspect of Chinese language information processing,which has been widely used in speech recognition,Chinese Pinyin input and so on.In order to find an effective syllable-to-character decoding algorithm,an efficient decoding algorithm is proposed based on the study of phonetic word segmentation,the word tree theory and the analysis of word tree solving.It uses zero probability reassessment,path pruning,processing of polyphonic words to realize the syllable-to-character conversion generally by pruning of word tree,processing of common words and processing of polyphonic words in the decoding process.In order to verify the validity and feasibility of the proposed algorithm,the contrast experiments on three sets of data provided by Xinjiang Uygur Autonomous Region Science and Technology Program,Multilingual Ethnic Cultural Information Resource Processing and Sharing Service Platform,have been conducted.The experimental results show that it has achieved 97.78% conversion accuracy,which is superior to other traditional algorithms.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(08):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(08):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(08):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(08):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(08):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(08):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(08):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(08):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(08):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(08):47.

更新日期/Last Update: 2017-09-21