Stanford nlp 斯坦福-segmenter-2015-12-09碰撞

Stanford nlp 斯坦福-segmenter-2015-12-09碰撞,stanford-nlp,Stanford Nlp,新的stanford-segmenter-2015-12-09在使用OpenJDK的Ubuntu 14.04 64位上崩溃: tahoar@library0:~$ java -version java version "1.7.0_91" OpenJDK Runtime Environment (IcedTea 2.6.3) (7u91-2.6.3-0ubuntu0.14.04.1) OpenJDK 64-Bit Server VM (build 24.91-b01, mixed mode)

新的stanford-segmenter-2015-12-09在使用OpenJDK的Ubuntu 14.04 64位上崩溃:

tahoar@library0:~$ java -version
java version "1.7.0_91"
OpenJDK Runtime Environment (IcedTea 2.6.3) (7u91-2.6.3-0ubuntu0.14.04.1)
OpenJDK 64-Bit Server VM (build 24.91-b01, mixed mode)
下面是示例脚本的输出:

./segment.sh ctb test.simp.utf8 UTF-8 0

(CTB):
File: test.simp.utf8
Encoding: UTF-8
-------------------------------
Exception in thread "main" java.lang.UnsupportedClassVersionError: edu/stanford/nlp/ie/crf/CRFClassifier : Unsupported major.minor version 52.0
    at java.lang.ClassLoader.defineClass1(Native Method)
    at java.lang.ClassLoader.defineClass(ClassLoader.java:800)
    at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
    at java.net.URLClassLoader.defineClass(URLClassLoader.java:449)
    at java.net.URLClassLoader.access$100(URLClassLoader.java:71)
    at java.net.URLClassLoader$1.run(URLClassLoader.java:361)
    at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
    at java.security.AccessController.doPrivileged(Native Method)
    at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
    at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
    at sun.launcher.LauncherHelper.checkAndLoadMain(LauncherHelper.java:482)
在使用Oracle Java的Windows 10上,它运行良好:

C:\Users\tahoar>java -version
java version "1.8.0_66"
Java(TM) SE Runtime Environment (build 1.8.0_66-b18)
Java HotSpot(TM) Client VM (build 25.66-b18, mixed mode, sharing)

对JRE for Linux有什么建议吗?

您正在使用为Java 1.8编译的代码,并在Java 1.7.DOH上运行它!Stanford Segmenter主页上说,“系统需要安装Java1.8+。”我的糟糕!