Description: The software is a complete linux under a sub-word, can be part of speech tagging can be used for analysis in Chinese and English
To Search:
- [PcfgParser] - 1. To open the rule base, reading into t
- [POSTagger_Src] - Includes a term and its part of speech m
- [eluosifangkuai] - A good one nice one ,a program in DOS.
- [qtp9.2] - QTP9.2, very detailed, very detailed, ve
- [Dictory] - Use the B-tree as storage structure , an
- [Auto_WordSeg] - Automatic word segmentation procedure de
File list (Check if you may need any files):
libsvm-2.89\windows\train_model.pl
...........\.......\checkdata.py
...........\.......\svm-scale.exe
...........\.......\data_test\计算机-2\1153.txt.seg
...........\.......\.........\........\1118.txt.seg
...........\.......\.........\........\1119.txt.seg
...........\.......\.........\........\1165.txt.seg
...........\.......\.........\........\1172.txt.seg
...........\.......\.........\环境-1\56.TXT.seg
...........\.......\.........\......\511.TXT.seg
...........\.......\.........\......\52.TXT.seg
...........\.......\.........\......\537.TXT.seg
...........\.......\.........\......\512.TXT.seg
...........\.......\.........\交通-3\4207.txt.seg
...........\.......\.........\......\4181.txt.seg
...........\.......\.........\......\425.TXT.seg
...........\.......\.........\......\440.TXT.seg
...........\.......\.........\......\444.TXT.seg
...........\.......\subset.py
...........\.......\svm-toy.exe
...........\.......\easy.py
...........\.......\grid.py
...........\.......\python\svmc.pyd
...........\.......\svm-train.exe
...........\.......\svm-predict.exe
...........\heart_scale
...........\train_model.pl
...........\Makefile
...........\svm.o
...........\svm-train.c
...........\svm.cpp
...........\svm.h
...........\svm-train
...........\FAQ.html
...........\java\test_applet.html
...........\....\Makefile
...........\....\svm_toy.java
...........\....\svm_predict.java
...........\....\svm_train.java
...........\....\libsvm\svm.java
...........\....\......\svm_problem.java
...........\....\......\svm_parameter.java
...........\....\......\svm_node.java
...........\....\......\svm_print_interface.java
...........\....\......\svm.m4
...........\....\......\svm_model.java
...........\....\libsvm.jar
...........\....\svm_scale.java
...........\format_train_file
...........\README
...........\svm-scale
...........\COPYRIGHT
...........\data_test\计算机-2\1153.txt.seg
...........\.........\........\1118.txt.seg
...........\.........\........\1119.txt.seg
...........\.........\........\1165.txt.seg
...........\.........\........\1172.txt.seg
...........\.........\环境-1\56.TXT.seg
...........\.........\......\511.TXT.seg
...........\.........\......\52.TXT.seg
...........\.........\......\537.TXT.seg
...........\.........\......\512.TXT.seg
...........\.........\交通-3\4207.txt.seg
...........\.........\......\4181.txt.seg
...........\.........\......\425.TXT.seg
...........\.........\......\440.TXT.seg
...........\.........\......\444.TXT.seg
...........\libsvm.pdf
...........\svm-toy\qt\Makefile
...........\.......\..\svm-toy.cpp
...........\.......\windows\svm-toy.cpp
...........\.......\gtk\main.c
...........\.......\...\Makefile
...........\.......\...\interface.h
...........\.......\...\callbacks.cpp
...........\.......\...\interface.c
...........\.......\...\svm-toy.glade
...........\.......\...\callbacks.h
...........\python\cross_validation.py
...........\......\svm_test.py
...........\......\Makefile
...........\......\setup.py
...........\......\svm.py
...........\......\test_cross_validation.py
...........\......\README
...........\......\svmc_wrap.c
...........\......\svmc.i
...........\......\build\svm.o
...........\......\.....\lib.linux-i686-2.5\svm.py
...........\......\.....\..................\svmc.so
...........\......\.....\temp.linux-i686-2.5\svmc_wrap.o
...........\tools\heart_scale
...........\.....\lleasy.py
...........\.....\dataformater.py
...........\.....\xxeasy.py
...........\.....\.range
...........\.....\xxdir\format
...........\.....\.....\format.file
...........\.....\fg
...........\.....\.predict