def get_token(self, filename):
self.features = []
sentences = fio.ReadFileUTF8(filename)
for sentence in sentences:
for token in sentence:
feature = [token, "N"]
self.features.append(feature)
def get_token(self, filename):
self.features = []
sentences = fio.ReadFileUTF8(filename)
for sentence in sentences:
words = self.get_posTag(sentence)
for w in words:
for token in w.word:
feature = [token, w.flag, "N"]
self.features.append(feature)
def getWord(filename):
lines = fio.ReadFileUTF8(filename)
for line in lines:
print line.encode('utf-8')
words = nltk.sent_tokenize(line.encode('utf-8'))
for word in words:
wordss = word.word_tokenize(word)
for wordddd in wordss:
print worddd
def WriteDocsent(excelfile, folder, phrasedir, np=None):
sheets = range(0, maxWeek)
for i, sheet in enumerate(sheets):
week = i + 1
for type in ['q1', 'q2', 'q3', 'q4']:
phrasefile = os.path.join(phrasedir, str(week),
type + '.' + method + '.key')
if not fio.IsExist(phrasefile): continue
print phrasefile
DID = str(week) + '_' + type
path = folder + str(week) + '/'
fio.NewPath(path)
path = path + type + '/'
fio.NewPath(path)
path = path + 'docsent/'
fio.NewPath(path)
filename = path + DID + '.docsent'
#create a XML file
root = ET.Element(tag='DOCSENT',
attrib={
'DID': DID,
'LANG': "ENG"
})
root.tail = '\n'
tree = ET.ElementTree(root)
phrases = fio.ReadFileUTF8(phrasefile)
sno_id = 1
for par, phrase in enumerate(phrases):
phrase = phrase.rstrip()
s = [phrase]
for RSNT, value in enumerate(s):
node = ET.Element(tag='S',
attrib={
'PAR': str(par + 1),
'RSNT': str(RSNT + 1),
'SNO': str(sno_id)
})
node.text = value
node.tail = '\n'
root.append(node)
sno_id = sno_id + 1
tree.write(filename)
def get_type(self, filename):
sentences = fio.ReadFileUTF8(filename)
for sentence in sentences:
words = sentence.split()
x = int(words[1])
y = int(words[2])
#if words[3].encode('utf-8') == "身体部位":
itype = self.read_type(words[3])
self.features[x][1] = "B-" + itype
for j in range(x + 1, y + 1):
self.features[j][1] = "I-" + itype
def get_together(num, itype, total):
filename = datadir + '/result_' + itype + '-' + str(i) + '.txt'
#total = []
lines = fio.ReadFileUTF8(filename)
for j in range(len(lines)):
if len(lines[j]) == 0:
continue
words = lines[j].split()
if words[1].startswith('B'):
cur_type = trans_type(words[1][2:])
cur_name = ""
cur_name += words[0]
cur_left = j
cur_right = j
words = lines[j + 1].split()
while words[1].startswith('I'):
j += 1
cur_right += 1
cur_name += words[0]
words = lines[j + 1].split()
total.append([cur_left, cur_right, cur_name, cur_type])
return total
# coding: utf-8
import fio
import codecs
import sys
import os
traindir = "../dataset/train/"
testdir = "../dataset/test/"
resultdir = "../dataset/result/"
area = ["病史特点", "出院情况", "一般项目", "诊疗经过"]
if __name__ == '__main__':
for i in range(301, 401):
for j in range(4):
filename = testdir + area[j] + '/' + area[j] + '-' + str(
i) + '.txtoriginal.txt'
if not os.path.exists(filename):
continue
sentences = fio.ReadFileUTF8(filename)
printfile = resultdir + area[j] + '/' + area[j] + '-' + str(
i) + '.segment.txt'
for sentence in sentences:
if sentence == u'\r':
continue
sentence = sentence.replace(' ', '#')
for word in sentence:
if word == u'\r':
continue
fio.WriteFileUTF8(word, printfile)
if itype == "治疗":
return "TREATMENT"
if itype == "身体部位":
return "BODY"
if __name__ == '__main__':
for i in range(1, 301):
for j in range(4):
original_file = traindir + area[j] + '/' + area[j] + '-' + str(
i) + '.txtoriginal.txt'
tag_file = traindir + area[j] + '/' + area[j] + '-' + str(
i) + '.txt'
printfile = biotagdir + area[j] + '/' + area[j] + '-' + str(
i) + '.biotag.txt'
lines = fio.ReadFileUTF8(original_file)
ners = fio.ReadFileUTF8(tag_file)
tmp = 0
if tmp < len(ners):
cur_ner = ners[tmp].split()
else:
cur_ner = ['', -1, -1]
for words in lines:
for k in range(len(words)):
if str(k) >= cur_ner[1] and str(k) <= cur_ner[2]:
ner_type = judge_type(cur_ner[3])
if str(k) == cur_ner[1]:
ans = words[k] + " B-" + ner_type
else:
ans = words[k] + " I-" + ner_type
def test_into_aline(self, filename):
self.features = []
sentences = fio.ReadFileUTF8(filename)
for sentence in sentences:
for token in sentence:
self.features.append(token)
import codecs
import sys
import os
import argparse, time, random
traindir = "../dataset/train/"
biotagdir = "../dataset/biotag/"
area = ["一般项目", "病史特点", "出院情况", "诊疗经过"]
def judge_type(itype):
itype = itype.encode('utf-8')
if itype == "症状和体征":
return "SIGNS"
if itype == "检查和检验":
return "CHECK"
if itype == "疾病和诊断":
return "DISEASE"
if itype == "治疗":
return "TREATMENT"
if itype == "身体部位":
return "BODY"
if __name__ == '__main__':
for i in range(1, 301):
for j in range(4):
train_file = biotagdir + area[j] + '/' + area[j] + '-' + str(i) +'.biotag.txt'
result_file = '../dataset/train_data'
lines = fio.ReadFileUTF8(train_file)
fio.AddTest(lines, result_file)
fio.WriteFileUTF8('', result_file)