sentence

问题 How can I divide a sentence like "He and his brother playing football." into few part like "He and" , "and his" , "his brother" , "brother playing" and "playing football" . Is it possible to do that by using Java? 回答1: Assuming the "words" are always separated by a single space. Use String.split() String[] words = "He and his brother playing football.".split("\\s+"); for (int i = 0, l = words.length; i + 1 < l; i++) System.out.println(words[i] + " " + words[i + 1]); 回答2: You can do it using

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 years ago . I have to split Chinese text into multiple sentences. I tried the Stanford DocumentPreProcessor. It worked quite well for English but not for Chinese. Please can you let me know any good sentence splitters for Chinese preferably in Java or Python. 回答1: Using some regex tricks in Python (c.f. a modified regex of

问题 This question already has answers here : Extracting words from a string, removing punctuation and returning a list with separated words (3 answers) Closed 3 years ago . Hello I am new into regex and I'm starting out with python. I'm stuck at extracting all words from an English sentence. So far I have: import re shop="hello seattle what have you got" regex = r'(\w*) ' list1=re.findall(regex,shop) print list1 This gives output: ['hello', 'seattle', 'what', 'have', 'you'] If I replace regex by

问题 I have seen a few similar questions but I am trying to achieve this. Given a string, str="The moon is our natural satellite, i.e. it rotates around the Earth!" I want to extract the words and store them in an array. The expected array elements would be this. the moon is our natural satellite i.e. it rotates around the earth I tried using String.split( ','\t','\r') but this does not work correctly. I also tried removing the ., and other punctuation marks but I would want a string like "i.e."

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 4 years ago . I need to create a table with borders from the text file (this text file is updated every time when someone finishes filling a form. One row, one person): Herard|TRO789|Suzuki|France|Gendolfina|Fresko|food|500|2015-04-25 14:40 Bob|MGA789|Mercedes|Latvia|Polaris|Dread|parts|1000

问题 This question already has answers here : How to paste a string on each element of a vector of strings using apply in R? (3 answers) How to print text and variables in a single line in r (2 answers) Put quotation marks around each element of a vector, and separate with comma (1 answer) Closed 20 days ago . Forgive me it's been a while. I'm writing a report and I want to generate sentences from this tree data "fill-in-the-blanks" style. Here's some data for example: species <- c("sugar maple",

问题 This question already has answers here : How to paste a string on each element of a vector of strings using apply in R? (3 answers) How to print text and variables in a single line in r (2 answers) Put quotation marks around each element of a vector, and separate with comma (1 answer) Closed 20 days ago . Forgive me it's been a while. I'm writing a report and I want to generate sentences from this tree data "fill-in-the-blanks" style. Here's some data for example: species <- c("sugar maple",

问题 This was the interview question: How to convert Dogs like cats to cats like Dogs ? My code shows: cats like cats . Where am I making the mistakes? #include <iostream> using namespace std; int main() { char sentence[] = ("dogs like cats"); cout << sentence << endl; int len = 0; for (int i = 0; sentence[i] != '\0'; i++) { len++; } cout << len << endl; char reverse[len]; int k = 0; for (int j = len - 1; j >= 0; j--) { reverse[k] = sentence[j]; k++; } cout << reverse << endl; int words = 0; char

问题 I have extracted text from pdf line by line using pdfbox, to process it with my algorithm by sentences. I am recognizing the sentences by using period(.) followed by a word whose first letter is capital. Here the issue is, when a sentence ends with a word which has superscript, extractor treats it as a normal character and places it next to period(.) For example: expression "2 power 22" when appeared as a last word in a sentence i.e. with a period, it has been extracted as 2.22 which makes it

问题 Is it possible to use a Lucene SpanQuery to find all occurrences where the terms "red" "green" and "blue" all appear within a single sentence? My first (incomplete/incorrect) approach is to write an analyzer that places a special sentence marker token and the beginning of a sentence in the same position as the first word of the sentence and to then query for something similar to the following: SpanQuery termsInSentence = new SpanNearQuery( SpanQuery[] { new SpanTermQuery( new Term (MY_SPECIAL