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Debian/Ubuntu
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hello worldJVM activity report : classes loaded : JVM has been shutdown
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HanLPæ¯
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# -*- coding:utf-8 -*-
# Filename: main.py
# Authorï¼hankcs
# Date: // :
from jpype import
*startJVM(getDefaultJVMPath(),码解开盘换手源码 "-Djava.class.path=C:\hanlp\hanlp-1.2.8.jar;C:\hanlp", "-Xms1g", "-Xmx1g")
HanLP = JClass('com.hankcs.hanlp.HanLP')
# ä¸æåè¯
print(HanLP.segment('ä½ å¥½ï¼æ¬¢è¿å¨Pythonä¸è°ç¨HanLPçAPI'))
testCases = [
"åååæå¡",
"ç»å©çåå°æªç»å©çç¡®å®å¨å¹²æ°åè¯å",
"ä¹°æ°´æç¶åæ¥ä¸ååæåå»ä¸åä¼",
"ä¸å½çé¦é½æ¯å京",
"欢è¿æ°èå¸çåæ¥å°±é¤",
"工信å¤å¥³å¹²äºæ¯æç»è¿ä¸å±ç§å®¤é½è¦äº²å£äº¤ä»£å£äº¤æ¢æºçææ¯æ§å¨ä»¶çå®è£ å·¥ä½",
"éçé¡µæ¸¸å ´èµ·å°ç°å¨ç页游ç¹çï¼ä¾èµäºåæ¡£è¿è¡é»è¾å¤æç设计åå°äºï¼ä½è¿åä¹ä¸è½å®å ¨å¿½ç¥æã"]
for sentence in testCases: print(HanLP.segment(sentence))
# å½åå®ä½è¯å«ä¸è¯æ§æ 注
NLPTokenizer = JClass('com.hankcs.hanlp.tokenizer.NLPTokenizer')
print(NLPTokenizer.segment('ä¸å½ç§å¦é¢è®¡ç®ææ¯ç 究æçå®æåºæææ£å¨ææèªç¶è¯è¨å¤ç课ç¨'))
# å ³é®è¯æå
document = "æ°´å©é¨æ°´èµæºå¸å¸é¿éæå¿ 9ææ¥å¨å½å¡é¢æ°é»å举è¡çæ°é»åå¸ä¼ä¸éé²ï¼" \
"æ ¹æ®ååå®æäºæ°´èµæºç®¡çå¶åº¦çèæ ¸ï¼æé¨åçæ¥è¿äºçº¢çº¿çææ ï¼" \
"æé¨åçè¶ è¿çº¢çº¿çææ ã对ä¸äºè¶ è¿çº¢çº¿çå°æ¹ï¼éæå¿ è¡¨ç¤ºï¼å¯¹ä¸äºåç¨æ°´é¡¹ç®è¿è¡åºåçéæ¹ï¼" \
"ä¸¥æ ¼å°è¿è¡æ°´èµæºè®ºè¯åå水许å¯çæ¹åã"
print(HanLP.extractKeyword(document, 2))
# èªå¨æè¦
print(HanLP.extractSummary(document, 3))
# ä¾åå¥æ³åæ
print(HanLP.parseDependency("å¾å çè¿å ·ä½å¸®å©ä»ç¡®å®äºæç»éé¹°ãæ¾é¼ å麻éä½ä¸ºä¸»æ»ç®æ ã"))
shutdownJVM()