[1]牛娜,古丽拉·阿东别克. 基于规则的哈萨克语句法分析算法研究[J].计算机技术与发展,2015,25(09):43-47.
 NIU Na,GULIA·Altenbek. Research on Parsing Algorithm Analysis of Kazakh Based on Rule[J].,2015,25(09):43-47.
点击复制

 基于规则的哈萨克语句法分析算法研究()
分享到:

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

卷:
25
期数:
2015年09期
页码:
43-47
栏目:
智能、算法、系统工程
出版日期:
2015-09-10

文章信息/Info

Title:
 Research on Parsing Algorithm Analysis of Kazakh Based on Rule
文章编号:
1673-629X(2015)09-0043-05
作者:
 牛娜古丽拉·阿东别克
 新疆大学 信息科学与工程学院
Author(s):
 NIU NaGULIA·Altenbek
关键词:
 哈萨克语句法分析线图分析算法规则库句法树
Keywords:
 Kazakhsyntactic analysischart analysis algorithmrule basesyntax tree
分类号:
TP391
文献标志码:
A
摘要:
 哈萨克语的理解一般分为以下步骤:原文输入、词语切分及词语属性特征标注、语法及句法分析、语义及语用和语境分析、生成目标形式表示、句群及篇章理解等。句子分析上接篇章理解,下联词汇分析,起着承上启下的作用。由于哈萨克语句法分析结果的准确度将对后续机器翻译的研究产生影响,在掌握哈萨克语词法分析技术的基础上,结合现代哈萨克语句法结构特点,首先介绍了厄尔利算法、GLR算法和线图算法三种基于规则的句法分析算法。通过实验对比发现,线图分析算法在哈萨克语简单句的分析中具有运算速度快和占用空间小的综合优势。针对传统线图分析算法冗余边较多造成分析准确率不高的现象引入规则库优化的改进线图算法,实验结果表明,改进后的线图算法使得准确率提高了4.19%,运行时间缩短了20倍。
Abstract:
 The understanding of the Kazakh is generally divided into the following steps,the original input words,word segmentation and attribute features labeling,grammar and syntax analysis,semantics and pragmatics,and context analysis,generating target form,sentence group and text understanding,etc. Sentence analysis discourses text understanding,allying lexical analysis,playing the essential role. Be-cause the Kazakh syntactic analysis result accuracy influences the followed machine translation,based on mastering Kazakh lexical analy-sis technology,combined with the characteristics of modern Kazakh syntactic structure,first introduce the three rule-based parsing algo-rithms including Earley algorithm,GLR algorithm and chart analysis algorithm. The chart analysis algorithm has fast speed and small foot-print of the comprehensive advantages in simple Kazakh sentences analysis found by experimental comparison. The rule base optimization chart analysis algorithm is introduced to aim at the problem of low accuracy caused by more side redundancy,experimental results show that the algorithm makes the accuracy improved 4. 19%,the running time shortens 20 times.

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(09):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(09):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(09):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(09):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(09):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(09):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(09):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(09):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(09):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(09):47.

更新日期/Last Update: 2015-10-16