在spacy的句子中找到第三人称单数代词，名词和动词的最有效方法答案

【问题标题】：Most efficient way to find a 3rd Person singular pronoun, a noun and a verb in a sentence in spacy在spacy的句子中找到第三人称单数代词，名词和动词的最有效方法
【发布时间】：2022-01-13 14:24:10
【问题描述】：

我有这段代码（我是 Python 新手），它运行良好，但我认为我的代码效率不高。它检查句子是否包含第三人称单数代词（他、她或它）、名词和动词：

def findNounVerbPronoun():
    countElements = 0
    nlp = spacy.load("en_core_web_sm")
    doc = nlp("Between traveling, working, and preparing to be a mother for the first time, she is a very busy woman.")
    for token in doc:
        if token.pos_ == "NOUN":
            countElements = countElements + 1
        if token.pos_ == "PRON" and token.morph.get("Person") == ["3"] and token.morph.get("Number") == ['Sing']:
            countElements = countElements + 1
        if token.pos_ == "VERB":
            countElements = countElements + 1
    if countElements == 3:
        return True
    else:
        return False

是否有可能以比这种方式更简单的方式找出句子中是否包含动词、名词和代词（第三人称单数）？我认为我的代码并不是真正的pythonic。非常感谢！

【问题讨论】：

你也会用 3 个名词加起来 3 ......你不会吗？
讨厌：if countElements == 3: return True else: return False 可以简化为return countElements == 3

标签： python python-3.x spacy spacy-3

【解决方案1】：

下面的代码也应该可以工作：

def findNounVerbPronoun():
    countElements = 0
    nlp = spacy.load("en_core_web_sm")
    doc = nlp("Between traveling, working, and preparing to be a mother for the first time, she is a very busy woman.")
    for token in doc:
        print(token)
        if token.pos_ in {"NOUN","VERB"} or token.pos_ == "PRON" and token.morph.get("Person") == ["3"] and token.morph.get("Number") == ['Sing']:
            countElements+=1
            if countElements==4:
                return False #not necessary to continue
    return countElements==3

【讨论】：