Is it possible to use spacy with already tokenized input?

Question

I have a sentence that has already been tokenized into words. I want to get the part of speech tag for each word in the sentence. When I check the documentation in SpaCy I realized it starts with the raw sentence. I don't want to do that because in that case, the spacy might end up with a different tokenization. Therefore, I wonder if using spaCy with the list of words (rather than a string) is possible or not ?

Here is an example about my question:

# I know that it does the following sucessfully :
import spacy
nlp = spacy.load('en_core_web_sm')
raw_text = 'Hello, world.'
doc = nlp(raw_text)
for token in doc:
    print(token.pos_)

But I want to do something similar to the following:

import spacy
nlp = spacy.load('en_core_web_sm')
tokenized_text = ['Hello',',','world','.']
doc = nlp(tokenized_text)
for token in doc:
    print(token.pos_)

I know, it doesn't work, but is it possible to do something similar to that ?

Answer 1

Use the Doc object

import spacy
from spacy.tokens import Doc
nlp = spacy.load("en_core_web_sm")

sents = [['Hello', ',','world', '.']]
for sent in sents:
    doc = Doc(nlp.vocab, sent)
    for token in nlp(doc):
        print(token.text, token.pos_)