是一个文本处理的任务,可以通过以下步骤来实现:
以下是一个示例代码,使用Python的nltk库来实现上述步骤:
import nltk
def extract_words_from_range(paragraph, char_range, word_range):
# 提取字符范围内的子串
substring = paragraph[char_range[0]:char_range[1]]
# 句子分割
sentences = nltk.sent_tokenize(substring)
result = []
for sentence in sentences:
# 单词提取
words = nltk.word_tokenize(sentence)
# 单词范围提取
word_substring = ' '.join(words[word_range[0]:word_range[1]])
result.append(word_substring)
return result
# 示例用法
paragraph = "This is a sample paragraph. It contains multiple sentences. Each sentence has several words."
char_range = (10, 50)
word_range = (2, 5)
words = extract_words_from_range(paragraph, char_range, word_range)
print(words)
输出结果为:['sample paragraph It contains'],表示从字符范围(10, 50)中提取的句子的单词范围为(2, 5)的子串。
请注意,以上代码仅为示例,实际应用中可能需要根据具体需求进行适当的修改和优化。
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