如何使用 NLP 库将动词从现在时态转换为过去时态？

Question

我想做什么

我想使用 NLP 库将动词从现在时转换为过去时。

As she leaves the kitchen, his voice follows her.

#output
As she left the kitchen, his voice followed her.

问题

无法从现在时转换为过去时。

我查了下面类似的问题，但是他们只是介绍了从过去时到现在时。

Using NLTK and WordNet; how do I convert simple tense verb into its present, past or past participle form?

我尝试做的事情

我能够使用 spaCy 将动词从过去时态转换为现在时态。但是，从现在时到过去时都没有提示做同样的事情。

text = "As she left the kitchen, his voice followed her."
doc_dep = nlp(text)
for i in range(len(doc_dep)):
    token = doc_dep[i]
    #print(token.text, token.lemma_, token.pos_, token.tag_, token.dep_) 
    if token.pos_== 'VERB':
        print(token.text)
        print(token.lemma_)
        text = text.replace(token.text, token.lemma_)
print(text)

#output
'As she leave the kitchen, his voice follow her.'

开发环境

Python 3.7.0

spaCy 版本 2.3.1

Answer 1

据我所知，Spacy 没有用于此类转换的内置函数，但您可以使用扩展来映射 present/past 时态对，以及您没有合适的扩展对 'ed' 弱动词过去分词的后缀如下：

verb_map = {'leave': 'left'}

def make_past(token):
    return verb_map.get(token.text, token.lemma_ + 'ed')

spacy.tokens.Token.set_extension('make_past', getter=make_past, force=True)

text = "As she leave the kitchen, his voice follows her."
doc_dep = nlp(text)
for i in range(len(doc_dep)):
    token = doc_dep[i]
    if token.tag_ in ['VBP', 'VBZ']:
        print(token.text, token.lemma_, token.pos_, token.tag_) 
        text = text.replace(token.text, token._.make_past)
print(text)

输出：

leave leave VERB VBP
follows follow VERB VBZ
As she left the kitchen, his voice followed her.

Answer 2

我今天遇到了同样的问题。我怎样才能把我的动词改成“过去时”的形式。我找到了上述解决方案的替代解决方案。有一个 pyinflect 软件包解决了此类问题，它是为 spacy 创建的。它只需要安装 pip install pyinflect 并导入。无需添加扩展。

import spacy
import pyinflect

nlp = spacy.load("en_core_web_sm")

text = "As she leave the kitchen, his voice follows her."
doc_dep = nlp(text)
for i in range(len(doc_dep)):
    token = doc_dep[i]
    if token.tag_ in ['VBP', 'VBZ']:
        print(token.text, token.lemma_, token.pos_, token.tag_) 
        text = text.replace(token.text, token._.inflect("VBD"))
print(text)

输出：As she left the kitchen, his voice followed her.

注意：我使用的是 spacy 3

如何使用 NLP 库将动词从现在时态转换为过去时态？

How can I transform verbs from present tense to past tense with using NLP library?

python

nlp

stanford-nlp

python-3.x

spacy

我想做什么

问题

我尝试做的事情

开发环境