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chsegc
- chseg c语言写的汉字分词模块，调用方法和使用方法见程序内说明readme.txt。-chseg write Chinese characters Word module, called methods and procedures for use within see Note readme.txt.
tinycc.tar
- c语言编译器arm-gen.c asmtest.S bcheck.c boundtest.c c67-gen.c Changelog coff.h configure COPYING elf.h [examples] float.h gcctestsuite.sh i386-asm.c i386-asm.h i386-gen.c il-gen.c il-opcodes.h libtcc.h libtcc1.c libtcc_test.c Makefile README sta
tcc-0.9.23
- Tiny C Compiler - C scr ipting Everywhere - The Smallest ANSI C compiler Installation on a i386 Linux host (for Windows read win32/readme.txt) ./configure make make test make install By default, tcc is installed in /usr/local
tiger_Lexical
- 针对“虎书”中的tiger语言写的词法分析器 实现了多重注释嵌套、字符串中特殊转义字符和文件结束等处理。 具体请参考Readme.txt-the "tiger" that the tiger was the language lexical analyzer to achieve multiple nested Notes, strings and special escape characters such as an end-of-file processing.
compiler
- 一个编译器，具体使用方法间readme ?桓霰嘁肫鳎
lex分析pl0
- 是用flex分析pl0源代码的程序，统计处其中所有的关键字和变量名称，这个rar文件中有readme，具体见其中的说明。另外还有2个测试文件ceshi1.pl0和ceshi2.pl0-is flex pl0 source code analysis procedures, the Census and Statistics Department in which all the keywords and variable names, the rar a readme file, as show
pedump192(2)
- 知道大家有没有用过PEDUMP，一个很好用的PE文件分析软件，不过那个软件是在DOS的命令行程序，并且是英文的，由于编EXE文件加密器的时候很想用一个这样的程序帮助分析，于是研究了PE文件的结构，做出了现在这个PE文件分析器，提供给那些想快些了解PE结构或者编制这方面的程序的朋友一个工具。 我正在加强其功能，主要是用在反编译方面太弱了，希望得到高手的帮助。 新版本的1.53版加强了文件导出功能，可以和M$的PUDUMP分析结果媲美：） 1.91版，最大的改动就是增加了资源分析显示部分
lex
- 用c++实现的此法分析器,包括正则表达式解析,正则到NFA转换,NFA到DFA转换,和最终的匹配,详见包中README文件-Using c++ parser to achieve this method, including regular expression analysis, while the NFA is converted, NFA to DFA conversion, and end the match, see the package README file
NFADFA
- 正则式转成最小DFA，这是编译原理上机作业题目，含个人readme-The smallest regular expression turned into DFA, which is compiled on the machine operation principle of topics including personal readme
jflex-examples
- 编译原理实验例程 一个统计hello单词数的程序,只需编写Count.flex，运行说明请看readme.txt-Compile a statistical routines principle experiment the number of hello word program, just write Count.flex, then the following command to get the results jflex Count.flex javac Count.java java
libsvm
- it is a library for SVM(support vector machines) to be used in matlab. It includes a readme file for details. It can be used to train SVM on some dataset and use it to predict values(Machine Learning).