word

问题 I'm trying to write a book cipher decoder, and the following is what i got so far. code = open("code.txt", "r").read() my_book = open("book.txt", "r").read() book = my_book.txt code_line = 0 while code_line < 6 : sl = code.split('\n')[code_line]+'\n' paragraph_num = sl.split(' ')[0] line_num = sl.split(' ')[1] word_num = sl.split(' ')[2] x = x+1 the loop changes the following variables: paragraph line word and every thing is working just fine . but what I need now is how to specify the

来源： https://stackoverflow.com/questions/62775131/python-count-the-number-of-words-in-the-list-of-strings

来源： https://stackoverflow.com/questions/13725861/generate-all-word-forms-using-lucene-hunspell

问题 Right now, I am at the starting point of a project in which I am supposed to compare two words semantically. I came to know about WordNet wherein we find distance between words to find how similar they are in terms of their meaning. It would be really helpful if you can suggest some more techniques and which method would be the best one. 来源： https://stackoverflow.com/questions/18570378/what-are-the-different-techniques-for-comparing-2-words-semantically-which-one

问题 Right now, I am at the starting point of a project in which I am supposed to compare two words semantically. I came to know about WordNet wherein we find distance between words to find how similar they are in terms of their meaning. It would be really helpful if you can suggest some more techniques and which method would be the best one. 来源： https://stackoverflow.com/questions/18570378/what-are-the-different-techniques-for-comparing-2-words-semantically-which-one

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 9 days ago . Improve this question Could a specific string of text be turned into a different one with a particular structure? Example of text received: El vídeo proporciona una manera eficaz para ayudarle a demostrar el punto. Cuando haga clic en Vídeo en línea, puede pegar el código para

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 9 days ago . Improve this question Could a specific string of text be turned into a different one with a particular structure? Example of text received: El vídeo proporciona una manera eficaz para ayudarle a demostrar el punto. Cuando haga clic en Vídeo en línea, puede pegar el código para

问题 I am generating a wordcloud image for single word and that works out fine. I want to generate the image for phrases. Their documentation states in the very first question that for 2 word phrases I need to use ~ to link them. I've tried this method linking my n lenght phrases but it still takes only 2 words in to consideration. Is this the limit or there is a way to generate wordcloud with more than 2 word phrases? wordcloud = WordCloud( width=1000, height=1000, background_color='black',

问题 I want to make sure that I only print maximum 80 character long lines, but I have a string s that can be both shorter and longer than that. So I want to split it into lines without splitting any words. Example of long string: s = "This is a long string that is holding more than 80 characters and thus should be split into several lines. That is if everything is working properly and nicely and all that. No mishaps no typos. No bugs. But I want the code too look good too. That's the problem!" I

问题 I want to make sure that I only print maximum 80 character long lines, but I have a string s that can be both shorter and longer than that. So I want to split it into lines without splitting any words. Example of long string: s = "This is a long string that is holding more than 80 characters and thus should be split into several lines. That is if everything is working properly and nicely and all that. No mishaps no typos. No bugs. But I want the code too look good too. That's the problem!" I