To go further, manually open an IDE on your computer and copy the output to the website.
Let's work with Japanese. Download it in Stanza with the following code:
import stanza
stanza.download('ja')
nlp = stanza.Pipeline(lang="ja", processors="tokenize, pos, lemma, depparse, ner")You have this text in Japanese:
海が近くにある大学への進学を機に、叔父が経営するダイビングショップ「グランブルー」に居候することになった北原伊織。
It is just a sentence, so you don't have to do sentence tokenization. Carry out word tokenization and find a POS tag for each token. The output should be like this:
[('token', 'POS'), ('token', 'POS')]Use Stanza 1.4.0. You can install it with this line:
!pip install stanza==1.4.0