Translation with Hugging Face in NLP - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to load the translation pipeline from Hugging Face.

NLP

from transformers import pipeline
translator = pipeline([1])

Drag options to blanks, or click blank then click option'

A"translation_en_to_de"

B"sentiment-analysis"

C"translation_en_to_es"

D"translation_en_to_fr"

Attempts:

3 left

💡 Hint

Common Mistakes

Using sentiment-analysis instead of a translation pipeline.

Choosing the wrong target language code.

The correct pipeline name for English to German translation is "translation_en_to_de".

2fill in blank

medium

Complete the code to translate the English sentence to German using the pipeline.

NLP

result = translator([1])
print(result[0]['translation_text'])

Drag options to blanks, or click blank then click option'

A"Hello, how are you?"

BHello, how are you?

C'Hello, how are you?'

D['Hello, how are you?']

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the sentence without quotes causing a syntax error.

Passing a list instead of a string.

The input to the translator must be a string enclosed in quotes.

3fill in blank

hard

Fix the error in the code to correctly translate the sentence.

NLP

from transformers import pipeline
translator = pipeline("translation_en_to_de")
result = translator([1])
print(result[0]['translation_text'])

Drag options to blanks, or click blank then click option'

A"Good morning"

BGood morning

C'Good morning'

D[Good morning]

Attempts:

3 left

💡 Hint

Common Mistakes

Passing unquoted text causing NameError.

Passing a list instead of a string.

The input to the translator must be a string with quotes, so "Good morning" or 'Good morning' is correct. Option A uses double quotes correctly.

4fill in blank

hard

Fill both blanks to create a translation pipeline from English to French and translate a sentence.

NLP

from transformers import pipeline
translator = pipeline([1])
result = translator([2])
print(result[0]['translation_text'])

Drag options to blanks, or click blank then click option'

A"translation_en_to_fr"

B"translation_en_to_de"

C"Hello, how are you?"

D"Good evening"

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong pipeline name.

Passing input without quotes.

The pipeline must be set to English to French translation and the input sentence must be a string with quotes.

5fill in blank

hard

Fill all three blanks to translate a list of English sentences to Spanish and print each translation.

NLP

from transformers import pipeline
translator = pipeline([1])
sentences = ["Hello", "Good night", "Thank you"]
translations = [translator([2])[0]['translation_text'] for [3] in sentences]
for t in translations:
    print(t)

Drag options to blanks, or click blank then click option'

A"translation_en_to_es"

Bsentence

C"sentence"

Dsent

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the string "sentence" instead of the variable sentence.

Using a different loop variable than the one passed to translator.

The pipeline must be set for English to Spanish translation. The input to translator is the variable holding each sentence, which is 'sentence'. The loop variable is also 'sentence'.