How to generate a new dictionary file of mmseg
0.Usage about mmseg-node memtioned in github :
var mmseg = require("mmseg");
var q = mmseg.open('/usr/local/etc/');
console.log(q.segmentSync("我是中文分词"));
#"/usr/local/etc" is dir of mmseg's dictionary, which has a file "uni.lib" , which is the directionary file
1. so we need a generate directionary file. Before this , we need to install coreseek , ref to http://www.coreseek.cn/products-install/install_on_bsd_linux/
安装前，建议查看：源码包说明README；4.0/4.1版可参考3.2版本安装，步骤相同；如遇到问题，请看详细安装说明。
##下载coreseek：coreseek 3.2.14：点击下载、coreseek 4.0.1：点击下载、coreseek 4.1：点击下载
$ wget http://www.coreseek.cn/uploads/csft/3.2/coreseek-3.2.14.tar.gz
$ 或者 http://www.coreseek.cn/uploads/csft/4.0/coreseek-4.0.1-beta.tar.gz
$ 或者 http://www.coreseek.cn/uploads/csft/4.0/coreseek-4.1-beta.tar.gz
$ tar xzvf coreseek-3.2.14.tar.gz 或者 coreseek-4.0.1-beta.tar.gz 或者 coreseek-4.1-beta.tar.gz
$ cd coreseek-3.2.14 或者 coreseek-4.0.1-beta 或者 coreseek-4.1-beta
##前提：需提前安装操作系统基础开发库及mysql依赖库以支持mysql数据源和xml数据源
##安装mmseg
$ cd mmseg-3.2.14
$ ./bootstrap #输出的warning信息可以忽略，如果出现error则需要解决
$ ./configure --prefix=/usr/local/mmseg3
$ make && make install
$ cd ..
##安装coreseek
$ cd csft-3.2.14 或者 cd csft-4.0.1 或者 cd csft-4.1
$ sh buildconf.sh #输出的warning信息可以忽略，如果出现error则需要解决
$ ./configure --prefix=/usr/local/coreseek --without-unixodbc --with-mmseg --with-mmseg-includes=/usr/local/mmseg3/include/mmseg/ --with-mmseg-libs=/usr/local/mmseg3/lib/ --with-mysql ##如果提示mysql问题，可以查看MySQL数据源安装说明
##debian5 : ubuntu9/10 install mysql:
$ apt-get install mysql-client libmysqlclient15-dev libxml2-dev libexpat1-dev
$ make && make install
$ cd ..
##测试mmseg分词，coreseek搜索（需要预先设置好字符集为zh_CN.UTF-8，确保正确显示中文）
$ cd testpack
$ cat var/test/test.xml #此时应该正确显示中文
$ /usr/local/mmseg3/bin/mmseg -d /usr/local/mmseg3/etc var/test/test.xml #we can see content in test.xml was divided in "system-default-knowed vocabulary" which base on dictionary file "/usr/local/mmseg3/etc/unilib".
$ /usr/local/coreseek/bin/indexer -c etc/csft.conf --all #regenerate a index
2.generate a new dictionary:
#write the new vocabulary in word_new_input.txt, each vocabulary one line and cd in where you locate your word_new_input.txt
#for example (no # at the beginning of each line):
#雅阁
#马自达
# now you cd in your new vocabulary dir:
$ cd ~/projects/mmseg-3.2.14/new2
$ cat word_new_input.txt | awk '{print $1"\t""1""\nx:1"}' > word_new_gen.txt
$ cat ../data/unigram.txt | word_new_gen.txt > word_new_gen.txt
$ /usr/local/mmseg3/bin/mmseg -u word_new_gen.txt #which generate a word_new_gen.txt.lib file
$ mv word_new_gen.txt.lib uni.lib #rename
#$ cp /usr/local/mmseg3/etc ~/ -r #backup your dictionary file
$ sudo cp uni.lib /usr/local/mmseg3/etc/ #replace the dictionary file with new one
## now you cd in your coreseek-3.2.14/testpack directory
$ /usr/local/coreseek/bin/indexer -c ~/projects/coreseek-3.2.14/testpack/etc/csft.conf --all #regenerate a new index
#above generate some output as the following:
Coreseek Fulltext 3.2 [ Sphinx 0.9.9-release (r2117)]
Copyright (c) 2007-2011,
Beijing Choice Software Technologies Inc (http://www.coreseek.com)
using config file 'etc/csft.conf'...
indexing index 'xml'...
collected 3 docs, 0.0 MB
sorted 0.0 Mhits, 100.0% done
total 3 docs, 7585 bytes
total 0.010 sec, 746334 bytes/sec, 295.18 docs/sec
total 2 reads, 0.000 sec, 4.2 kb/call avg, 0.0 msec/call avg
total 7 writes, 0.000 sec, 3.1 kb/call avg, 0.0 msec/call avg
#new dict store in /usr/local/mmseg3/etc/
3.test the new dictionary:
3.1 file "var/test/newtest.txt" is the one has new vocabulary sentence:
$ /usr/local/mmseg3/bin/mmseg -d /usr/local/mmseg3/etc var/test/newtest.txt
雅阁/x 现在/x 卖/x 多少/x 钱/x ？/x
马自达/x 的/x 重量/x 是/x 多少/x ？/x
3.2 or you can program in coffee:
david@Wade:~/node/node$ coffee
coffee> mmseg=require('mmseg')
{ open: [Function],
clean: [Function],
uniq: [Function] }
coffee> q= mmseg.open( '/usr/local/mmseg3/etc/')
{}
coffee> console.log q.segmentSync('我喜欢开雅阁')
[ '我', '喜欢', '开', '雅阁' ]
undefined
coffee> console.log q.segmentSync('我喜欢开丰田') #丰田 is NOT in the new dictionary
[ '我', '喜欢', '开', '丰', '田' ]
undefined
coffee> console.log q.segmentSync '我喜欢开马自达'
[ '我', '喜欢', '开', '马自达' ]