Crash Course Computer Science: Natural Language Processing Quiz

Crash Course Computer Science: Natural Language Processing Quiz

12th Grade

10 Qs

quiz-placeholder

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Crash Course Computer Science: Natural Language Processing Quiz

Crash Course Computer Science: Natural Language Processing Quiz

Assessment

Interactive Video

Computers

12th Grade

Hard

Created by

Jennifer Clark

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main difference between machine languages and natural languages?

Machine languages have large vocabularies.

Natural languages are used only in programming.

Machine languages require 100% accuracy in spelling and syntax.

Natural languages follow highly structured conventions.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal of Natural Language Processing (NLP)?

To improve computer vision capabilities.

To create new programming languages.

To enable computers to understand and generate human language.

To develop new hardware for computers.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are 'parts of speech' in the context of NLP?

Different programming languages.

Algorithms for speech recognition.

Types of words in a language like nouns, verbs, and adjectives.

Rules for constructing sentences.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a 'parse tree' used for in NLP?

To store all possible sentences in a language.

To tag words with parts of speech and show sentence structure.

To translate languages.

To generate new words.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do modern chatbots differ from early rule-based chatbots?

They use hand-crafted rules.

They are based on machine learning and large datasets.

They can only handle simple tasks.

They do not require any training data.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the first speech recognition system developed by Bell Labs called?

ELIZA

Harpy

Audrey

Siri

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main advantage of using deep neural networks in speech recognition?

They require no training data.

They can recognize an unlimited number of words.

They provide the best accuracy.

They are based on hand-crafted rules.

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