前段时间使用了HanLP一个纯JAVA分词工具包,后来老大说分词效果不是很好,需要换一个分词工具。于是推荐了一个分词工具——NLPIR,它是中科院XXX研发的一个分词工具。这个分词工具只用C/C++写的,但是它提供了JAVA,C#等调用接口。于是我希望是的通过java来调用。使用java调用C/C++的代码需要用到JNA,所以工程需要添加JNA的依赖包。

这里面官网上介绍的不是特别清楚,里面有些坑,第一次使用的人还真需要一段时间解决,下面将我踩的坑记录一下:

1、首先进官网:http://ictclas.nlpir.org/  下载相应的安装包,我下载的是:

  20160907102816_ICTCLAS2016分词系统下载包.zip

解压之后会出现如下文件目录:

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" alt="" width="418" height="145" />

其中,主要的几个目录是:

(1)Data,这个目录是放了license(NLPIR.user)在里面,这个如果你配置成功,初始化失败,一般都是license过期了。这个license目前是一个月更新一次。

(2)lib ,这个目录存放了linux和window下,运行需要的dll文件和.so文件。其中分别有对应的位数:

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" alt="" width="404" height="93" />

(3)sample,这个目录下面有多个语言实现的example。由于我这里使用的是java,所以就选择java,选择JNA,在选择JnaTest_NLPIR。在这个java工程就是提供的一个例子。

可以将例子导入工程中,代码如下:

package code;

import java.io.UnsupportedEncodingException;

import utils.SystemParas;

import com.sun.jna.Library;
import com.sun.jna.Native; public class NlpirTest { // 定义接口CLibrary,继承自com.sun.jna.Library
public interface CLibrary extends Library {
// 定义并初始化接口的静态变量
CLibrary Instance = (CLibrary) Native.loadLibrary(
"NLPIR", CLibrary.class); //这里需要注意,这个位置就设置为NLPIR是不能够改变,这里折腾我好久了,原来是这个NLPIR文件是不能改变。 // printf函数声明
public int NLPIR_Init(byte[] sDataPath, int encoding,
byte[] sLicenceCode); public String NLPIR_ParagraphProcess(String sSrc, int bPOSTagged); public String NLPIR_GetKeyWords(String sLine, int nMaxKeyLimit,
boolean bWeightOut); public void NLPIR_Exit();
} public static String transString(String aidString, String ori_encoding,
String new_encoding) {
try {
return new String(aidString.getBytes(ori_encoding), new_encoding);
} catch (UnsupportedEncodingException e) {
e.printStackTrace();
}
return null;
} public static void main(String[] args) throws Exception {
String argu = "";
// String system_charset = "GBK";//GBK----0
String system_charset = "GBK";
int charset_type = 1;
// int charset_type = 0;
// 调用printf打印信息
int init_flag = CLibrary.Instance.NLPIR_Init(argu
.getBytes(system_charset), charset_type, "0"
.getBytes(system_charset)); if (0 == init_flag) {
System.err.println("初始化失败!");
return;
} String sInput = "据悉,质检总局已将最新有关情况再次通报美方,要求美方加强对输华玉米的产地来源、运输及仓储等环节的管控措施,有效避免输华玉米被未经我国农业部安全评估并批准的转基因品系污染。"; String nativeBytes = null;
try {
nativeBytes = CLibrary.Instance.NLPIR_ParagraphProcess(sInput, 3); System.out.println("分词结果为: " + nativeBytes); int nCountKey = 0;
String nativeByte = CLibrary.Instance.NLPIR_GetKeyWords(sInput, 10,false); System.out.print("关键词提取结果是:" + nativeByte); CLibrary.Instance.NLPIR_Exit(); } catch (Exception ex) {
// TODO Auto-generated catch block
ex.printStackTrace();
} }
}

此时这样设置之后,接下来需要区分window和linux:

(1)若是在window下,只需要将NLPIR.dll文件拷贝到工程目录下即可,就可以在IDE里面运行。若是在控制台的话,同样需要将NLPIR.dll文件拷贝到jar包同目录下即可。

(2)若是在linux下,只需要将libNLPIR.so文件拷贝到当前jar包的目录下即可。

下面说说我踩得坑:

坑1、如上述描述,非常简单的使用,硬是给我搞了一天才搞定,这说明什么?刚开始我所遇到的是CLibrary Instance = (CLibrary) Native.loadLibrary( "NLPIR", CLibrary.class);这句到底是加载什么路径下的库文件。费了很大的劲,最后采用的是使用相对路径。只需要填写“NLPIR”即可。并且这个名字是不可以改变的。

坑2、当你将NLPIR.dll文件添加到工程后,以为应该是可以了,但是还是报错,报如下错误:

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这个错误主要原因是dll文件位数与操作系统的位数不一致所造成的。由于我是64位的操作系统,所以讲NLPIR.dll文件换成64位的即可。

坑3、当你上面都搞定了,运行之后,会报"初始化失败"的错误,这个错误刚开始搞了好久,没弄明白,因为觉得自己都配置好了,为什么还是初始化失败,这也是我花费时间最长的地方。后来网上一查发现,原来是有一个license。它是有时间的限制的。于是需要更换最新的license。去哪里更换呢?我在网上找到一个人的电话,直接打电话过去问的,听过那人介绍,原来在下载的时候,有标明license下载的地方。如下所示:https://github.com/NLPIR-team/NLPIR/tree/master/License

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" alt="" width="462" height="157" />

license原来是在这里下载。搞了半天,license放到了这么隐蔽的位置。

坑4、如上所示,也更换了最新的license,可以运行了。但是接下来,我的想法是将这个东西打jar包,在linux上运行,搞了半天不知道怎么回事,老是报错,最后的原因是在设置坑1的时候路径问题。因为一开始我设置的是绝对路径,总是报错,后来直接用相对路径。就不报错了。

坑5、本地是可以运行ICTCLAS了,但是由于NLP处理的预料都是比较大的数据,想法是提交到集群上去运行。那么如何实现呢?这里需要解决两个问题:

(1)libNLPIR.so文件的问题,由于ICTCLAS是C/C++写的代码,利用java/scala调用相应的API的时候,都是通过JNA调用.so里面的库函数来实现的。所以要想提交到集群上去运行,首先要解决的是各个节点如何能读取到libNLPIR.so文件?

解决的办法:将libNLPIR.so文件放在所有的节点的同一个目录下:/lib64/libNLPIR.so ,并且修改该.so文件的权限为777.

(2)Data中的配置文件和license文件在集群中如何加载?

解决的办法:再次查看ICTCLAS的参考手册,发现函数NLPIR_Init是有一个参数可以指定Data的路径的。于是借鉴上面的思路,即将Data目录放到所有的节点相同的目录下/dic/Data。这里需要注意点,函数NLPIR_Init的表示形式是:

bool NLPIR_Init(const char * sInitDirPath=0,int encoding=GBK_CODE,const char*sLicenceCode=0);

这里的参数sInitDirPath只需要传递Data的父目录即可。即:/dic 即可。(一开始我传入的参数是/dic/Data,最后结果还是报“初始化失败”的错误。)

至此,就可以在集群上运行ICTCLAS分词了。

坑6、利用ICTCLAS在集群上分词,为了提高运行速度,我们通常是考虑增加运行集群资源,如CPU,内存。但这样造成如下错误:

在datanote节点上出现如下两个错误:

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alt="" width="932" height="228" />

造成以上两个错误的原因是:当我们在增加运行资源的同时,集群会在同个节点上分配两个或者两个以上的executor,而在程序运行的过程中,当一个executor释放资源时,会导致另外一个executor的资源也释放了。从而引发上面的错误。

解决的办法是:减少运行的资源,从而保证每个节点只运行一个executor。

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