Checking grammatical correctness
An educational app is being built to help users improve their grammar. One core feature automatically checks whether user-submitted sentences are grammatically acceptable. You've been asked to implement this feature using a model trained on the Corpus of Linguistic Acceptability (CoLA) to classify sentence correctness.
Questo esercizio fa parte del corso
Natural Language Processing (NLP) in Python
Istruzioni dell'esercizio
- Initialize a
classifierpipeline with the"textattack/bert-base-uncased-CoLA"model. - Use the pipeline to check if the
user_textis grammatically acceptable.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
from transformers import pipeline
# Initialize the pipeline
classifier = ____
user_text = "Although she was knowing the answer, she didn't raised her hand during the class discussion."
# Classify grammatical acceptability
result = ____
print(result)