统计txt文件中出现的所有中文字符和标点符号的数量,每一个字符及数量之间用冒号分隔。 思路:借助字典存储,如果是英文字符跳过 with open("C:/Users/Lenovo/Desktop/1.txt","r",encoding="utf-8") as f1:txt=f1.read()d={}for c in txt:if (c<'a' or c>'z')and(c<'A' or
对于英文语料,我们想要获得句子时,可以通过正则或者NLTK工具切分。例如,NLTK: from nltk.tokenize import sent_tokenizedocument=''sentences=sent_tokenize(document) NLTK会根据“.?!”等符号切分。但是当句子中含有缩写词时,可能会产生错误的切分: sent_tokenize('fight among
+ plus 加号;正号- minus 减号;负号± plus or minus 正负号× is multiplied by 乘号÷ is divided by 除号= is equal to 等于号≠ is not equal to 不等于号≡ is equivalent to 全等于号≌ is equal to or approximately equal to 等于或约等于号≈ is
abap文本元素标点符号 This is the first in a series of articles that illustrate how basic design principles can improve information display. The next installment will apply some of these same principles t