A rubygem wrapper of chinese segment tools ICTCLAS2014 NLPIR
version 1.0.0 All bugs fixed, support userdict perfectly. for X64 here
Add this line to your application's Gemfile:
gem 'nlpir'And then execute:
$ bundleOr install it yourself as:
$ gem install nlpirsome DEFINE you may use :
NLPIR_FALSE = 0
NLPIR_TRUE = 1
POS_MAP_NUMBER = 4
ICT_POS_MAP_FIRST = 1 #计算所一级标注集
ICT_POS_MAP_SECOND = 0 #计算所二级标注集
PKU_POS_MAP_SECOND = 2 #北大二级标注集
PKU_POS_MAP_FIRST = 3 #北大一级标注集
POS_SIZE = 40
#词条结构体 term struct
Result_t = struct ['int start','int length',"char sPOS[#{POS_SIZE}]",'int iPOS',
'int word_ID','int word_type','double weight']
GBK_CODE = 0 #GBK编码
UTF8_CODE = GBK_CODE + 1 #UTF8编码
BIG5_CODE = GBK_CODE + 2 #BIG5编码
GBK_FANTI_CODE = GBK_CODE + 3 #GBK编码，包含繁体字
after you gem install it:
require 'nlpir'
include Nlpir
s = "坚定不移沿着中国特色社会主义道路前进 为全面建成小康社会而奋斗"
#first of all : Call the NLPIR API nlpir_init
nlpir_init(File.expand_path("../", __FILE__),UTF8_CODE)
#example1: Process a paragraph, and return the result text with POS or not
puts text_proc(s, NLPIR_TRUE)
puts text_proc(s, NLPIR_FALSE)
#example2: Process a paragraph, and return an array filled elements are POSed words.
#tips: text_procA() return the array, and its memory is malloced by NLPIR, it will be freed by nlpir_exit() (memory in server)
words_list = text_procA(s)
i=1
words_list.each do |a|
sWhichDic=""
case a.word_type
when 0
sWhichDic = "核心词典"
when 1
sWhichDic = "用户词典"
when 2
sWhichDic = "专业词典"
end
puts "No.#{i}:start:#{a.start}, length:#{a.length}, POS_ID:#{a.sPOS},word_ID:#{a.word_ID},word_type:#{a.word_type} , UserDefine:#{sWhichDic}, Word:#{s.byteslice(a.start,a.length)}, Weight:#{a.weight}\n"
i += 1
end
#example3: Process a paragraph, and return an array filled elements are POSed words.
#tips: text_procAW() return the array, and its memory is malloced by ruby::fiddle,and be collect by GC (memory in agent)
words_list = text_procAW(s)
i=1
words_list.each do |a|
sWhichDic=""
case a.word_type
when 0
sWhichDic = "核心词典"
when 1
sWhichDic = "用户词典"
when 2
sWhichDic = "专业词典"
end
puts "No.#{i}:start:#{a.start}, length:#{a.length}, POS_ID:#{a.sPOS},word_ID:#{a.word_ID},word_type:#{a.word_type} , UserDefine:#{sWhichDic}, Word:#{s.byteslice(a.start,a.length)}, Weight:#{a.weight}\n"
i += 1
end
#example4: Process a text file, and wirte the result text to file
puts file_proc("./test.txt", "./test_result.txt", NULL)
#example5: Get ProcessAWordCount, it returns the count of the words
puts count = file_wordcount(s)
#example6: Add/Delete a word to the user dictionary (the path of user dictionary of the path is ./data/userdict.dpat)
puts text_proc("我们都是爱思客")
#add a user word
add_userword("都是爱思客 n")
add_userword("思客 n")
add_userword("你是 n")
add_userword("都是客 n")
add_userword("都是爱 n")
puts text_proc("我们都是爱思客")
#save the user word to disk
save_userdict()
puts text_proc("我们都是爱思客")
#delete a user word
del_userword("都是爱思客")
save_userdict()
puts text_proc("我们都是爱思客")
#example7: Import user-defined dictionary from a text file. and puts NLPIR result
puts text_proc("1989年春夏之交的政治风波1989年政治风波24小时降雪量24小时降雨量863计划ABC防护训练APEC会议BB机BP机C2系统C3I系统C3系统C4ISR系统C4I系统CCITT建议")
puts import_userdict("./userdict.txt")
#you can see the example file: ./userdict.txt to know the userdict`s format requirements
save_userdict()
puts text_proc("1989年春夏之交的政治风波1989年政治风波24小时降雪量24小时降雨量863计划ABC防护训练APEC会议BB机BP机C2系统C3I系统C3系统C4ISR系统C4I系统CCITT建议")
#example8: Get keywords of text
#2nd parameter is the MaxNumber of keywords
#3rd parameter is a swith to show the WeightOut or not
puts text_keywords(s, 50,NLPIR_TRUE)
#example9: Get keywords from file
puts file_keywords("./test.txt",50, NLPIR_TRUE)
#example10: Find new words from text
puts text_newwords(s, 50, NLPIR_TRUE)
#example11: Find new words from file
puts file_newwords("./test.txt")
#example12: Extract a finger print from the paragraph
puts text_fingerprint(s)
#example13: select which pos map will use
#ICT_POS_MAP_FIRST #//计算所一级标注集
#ICT_POS_MAP_SECOND #//计算所二级标注集
#PKU_POS_MAP_SECOND #//北大二级标注集
#PKU_POS_MAP_FIRST #//北大一级标注集
setPOSmap(ICT_POS_MAP_FIRST)
puts text_proc(s)
setPOSmap(PKU_POS_MAP_FIRST)
puts text_proc(s)
# 新词发现批量处理功能
#以下函数为2013版本专门针对新词发现的过程，一般建议脱机实现，不宜在线处理
# 新词识别完成后，再自动导入到分词系统中，即可完成
NWI_start() #启动新词发现功能
f=File.new("test.txt", "r")
text=f.read
NWI_addfile(text)#添加新词训练的文件，可反复添加
NWI_complete()#添加文件或者训练内容结束
f.close()
puts NWI_result()#输出新词识别结果
#puts file_proc("a.txt","b.txt")
NWI_result2userdict()#新词识别结果导入到用户词典
#at the end call NLPIR_Exit() to free system materials
nlpir_exit()
require 'nlpir'
include Nlpir
s = "坚定不移沿着中国特色社会主义道路前进 为全面建成小康社会而奋斗"
#first of all : Call the NLPIR API NLPIR_Init
NLPIR_Init(nil, UTF8_CODE , File.expand_path("../", __FILE__))
#example1: Process a paragraph, and return the result text with POS or not
puts NLPIR_ParagraphProcess(s, NLPIR_TRUE)
puts NLPIR_ParagraphProcess(s, NLPIR_FALSE)
#example2: Process a paragraph, and return an array filled elements are POSed words.
#tips: NLPIR_ParagraphProcessA() return the array, and its memory is malloced by NLPIR, it will be freed by NLPIR_Exit() (memory in server)
words_list = NLPIR_ParagraphProcessA(s)
i=1
words_list.each do |a|
sWhichDic=""
case a.word_type
when 0
sWhichDic = "核心词典"
when 1
sWhichDic = "用户词典"
when 2
sWhichDic = "专业词典"
end
puts "No.#{i}:start:#{a.start}, length:#{a.length}, POS_ID:#{a.sPOS},word_ID:#{a.word_ID},word_type:#{a.word_type} , UserDefine:#{sWhichDic}, Word:#{s.byteslice(a.start,a.length)}, Weight:#{a.weight}\n"
i += 1
end
#example3: Process a paragraph, and return an array filled elements are POSed words.
#tips: NLPIR_ParagraphProcessAW() return the array, and its memory is malloced by ruby::fiddle,and be collect by GC (memory in agent)
words_list = NLPIR_ParagraphProcessAW(s)
i=1
words_list.each do |a|
sWhichDic=""
case a.word_type
when 0
sWhichDic = "核心词典"
when 1
sWhichDic = "用户词典"
when 2
sWhichDic = "专业词典"
end
puts "No.#{i}:start:#{a.start}, length:#{a.length}, POS_ID:#{a.sPOS},word_ID:#{a.word_ID},word_type:#{a.word_type} , UserDefine:#{sWhichDic}, Word:#{s.byteslice(a.start,a.length)}, Weight:#{a.weight}\n"
i += 1
end
#example4: Process a text file, and wirte the result text to file
puts NLPIR_FileProcess("./test.txt", "./test_result.txt", NULL)
#example5: Get ProcessAWordCount, it returns the count of the words
puts count = NLPIR_GetParagraphProcessAWordCount(s)
#example6: Add/Delete a word to the user dictionary (the path of user dictionary is ./data/userdict.dpat)
puts NLPIR_ParagraphProcess("我们都是爱思客")
#add a user word
NLPIR_AddUserWord("都是爱思客 n")
puts NLPIR_ParagraphProcess("我们都是爱思客")
#save the user word to disk
NLPIR_SaveTheUsrDic()
puts NLPIR_ParagraphProcess("我们都是爱思客")
#delete a user word
NLPIR_DelUsrWord("都是爱思课")
#save the change to disk
NLPIR_SaveTheUsrDic()
#example7: Import user-defined dictionary from a text file. and puts NLPIR result
puts NLPIR_ParagraphProcess("1989年春夏之交的政治风波1989年政治风波24小时降雪量24小时降雨量863计划ABC防护训练APEC会议BB机BP机C2系统C3I系统C3系统C4ISR系统C4I系统CCITT建议")
puts NLPIR_ImportUserDict("./userdict.txt")
NLPIR_AddUserWord("1989年春夏之交的政治风波 n")
#you can see the example file: ./test/userdict.txt to know the userdict`s format requirements
puts NLPIR_ParagraphProcess("1989年春夏之交的政治风波1989年政治风波24小时降雪量24小时降雨量863计划ABC防护训练APEC会议BB机BP机C2系统C3I系统C3系统C4ISR系统C4I系统CCITT建议")
NLPIR_DelUsrWord("1989年春夏之交的政治风波")
puts NLPIR_ParagraphProcess("1989年春夏之交的政治风波1989年政治风波24小时降雪量24小时降雨量863计划ABC防护训练APEC会议BB机BP机C2系统C3I系统C3系统C4ISR系统C4I系统CCITT建议")
#example8: Get keywords of text
#2nd parameter is the MaxNumber of keywords
#3rd parameter is a swith to show the WeightOut or not
puts NLPIR_GetKeyWords(s, 50,NLPIR_TRUE)
#example9: Get keywords from file
puts NLPIR_GetFileKeyWords("./test.txt",50, NLPIR_TRUE)
#example10: Find new words from text
puts NLPIR_GetNewWords(s, 50, NLPIR_TRUE)
#example11: Find new words from file
puts NLPIR_GetFileNewWords("./test.txt")
#example12: Extract a finger print from the paragraph
puts NLPIR_FingerPrint(s)
#example13: select which pos map will use
#ICT_POS_MAP_FIRST #//计算所一级标注集
#ICT_POS_MAP_SECOND #//计算所二级标注集
#PKU_POS_MAP_SECOND #//北大二级标注集
#PKU_POS_MAP_FIRST #//北大一级标注集
NLPIR_SetPOSmap(ICT_POS_MAP_FIRST)
puts NLPIR_ParagraphProcess(s)
NLPIR_SetPOSmap(PKU_POS_MAP_FIRST)
puts NLPIR_ParagraphProcess(s)
# 新词发现批量处理功能
#以下函数为2013版本专门针对新词发现的过程，一般建议脱机实现，不宜在线处理
# 新词识别完成后，再自动导入到分词系统中，即可完成
NLPIR_NWI_Start() #启动新词发现功能
NLPIR_NWI_AddFile("./text.txt")#添加新词训练的文件，可反复添加
NLPIR_NWI_Complete()#添加文件或者训练内容结束
puts NLPIR_NWI_GetResult().to_s#输出新词识别结果 可传入一个参数NLPIR_TRUE或NLPIR_FALSE，用于是否输出词性
#puts NLPIR_FileProcess("a.txt","b.txt")
NLPIR_NWI_Result2UserDict()#新词识别结果导入到用户词典
#at the end call NLPIR_Exit() to free system materials
NLPIR_Exit()
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