Computer scienceData scienceNLPText processing

POS tagging

Theory

Tag a Korean text

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Download a language model for the Korean language:

import stanza

nlp = stanza.Pipeline(lang='ko', processors='tokenize,pos')

Then, implement a POS tagging for the given Korean sentence. Find a correct universal POS tag for each token. Your answer should follow this pattern:

token - POS

Each token-POS pair should start with a new line.

Write code in your IDE to process the text file and display the results below
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