Why machines need numerical text representation in NLP - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to convert text into a list of words.

NLP

text = "Hello world"
words = text.[1]()

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Asplit

Bjoin

Creplace

Dstrip

Attempts:

3 left

💡 Hint

Common Mistakes

Using join() instead of split(), which combines words instead of separating them.

The split() method breaks a string into a list of words based on spaces.

2fill in blank

medium

Complete the code to convert words into their numerical indices using a dictionary.

NLP

word_to_index = {'hello': 1, 'world': 2}
indices = [word_to_index[[1]] for word in ['hello', 'world']]

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Aword

Bindex

Cword_to_index

Dtext

Attempts:

3 left

💡 Hint

Common Mistakes

Using the dictionary name instead of the loop variable.

We use the variable word to look up each word's index in the dictionary.

3fill in blank

hard

Fix the error in the code to convert text to lowercase before tokenizing.

NLP

text = "Hello World"
tokens = text.[1]().split()

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Atitle

Bupper

Ccapitalize

Dlower

Attempts:

3 left

💡 Hint

Common Mistakes

Using upper() which makes letters uppercase, not lowercase.

Using lower() converts all letters to lowercase, which helps standardize text before processing.

4fill in blank

hard

Fill both blanks to create a dictionary mapping words to their lengths for words longer than 3 letters.

NLP

words = ['apple', 'cat', 'banana', 'dog']
lengths = {word: [1] for word in words if len(word) [2] 3}

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Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' instead of '>' causing wrong filtering.

The dictionary comprehension maps each word to its length using len(word). The condition len(word) > 3 filters words longer than 3 letters.

5fill in blank

hard

Fill all three blanks to create a dictionary of uppercase words mapped to their lengths for words shorter than 6 letters.

NLP

words = ['apple', 'cat', 'banana', 'dog']
result = { [1]: [2] for w in words if len(w) [3] 6 }

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Aw.upper()

Blen(w)

C<

Dw

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'w' instead of 'w.upper()' for keys.

The dictionary comprehension uses w.upper() as keys and len(w) as values. The condition len(w) < 6 filters words shorter than 6 letters.