NLP

Question 1

What is Natural Language Processing (NLP)?

Answer 1

An interdisciplinary field that deals with the interaction between natural language and machines.

Question 2

What is the difference between Natural Language and Computer Language?

Answer 2

Natural Language refers to human languages while Computer Language refers to programming and markup languages.

Question 3

Define Natural Language.

Answer 3

Human languages such as English, Mandarin, Filipino, or Tagalog.

Question 4

Define Computer Language.

Answer 4

Programming languages (like Python, C++) and markup languages (like HTML, XML).

Question 5

What is a key characteristic of Natural Language?

Answer 5

It is easy for humans but difficult for computers due to its intuitive nature.

Question 6

What is a key characteristic of Computer Language?

Answer 6

It is easy for computers but difficult for humans, as it is structured for machine execution.

Question 7

True or False: Natural Language is ambiguous.

Answer 7

True.

Question 8

What is Symbolic NLP?

Answer 8

Rule-based NLP focusing on using rules to process language.

Question 9

Who proposed the Turing Test and in what year?

Answer 9

Alan Turing proposed the Turing Test in 1950.

Question 10

What is the Augmented Transition Network (ATN)?

Answer 10

A computational model used in NLP for parsing complex sentence structures.

Question 11

What does Case Grammar focus on?

Answer 11

The semantic roles or functions that different parts of a sentence play.

Question 12

What is SHRDLU?

Answer 12

A program that could understand and manipulate a virtual blocks world using natural language commands.

Question 13

What is LUNAR in the context of NLP?

Answer 13

A Natural Language database interface system that allows users to interact with databases using natural language.

Question 14

What are Hidden Markov Models (HMMs)?

Answer 14

Statistical models used in NLP for better language modeling.

Question 15

What advancements in NLP occurred in the 2000s?

Answer 15

Advances like deep neural networks and transformers revolutionized NLP.

Question 16

List three use cases of NLP.

Answer 16

• Virtual Assistants
• Chatbots
• Machine Translation

Question 17

What is Natural Language Understanding (NLU)?

Answer 17

The process of reading natural language to produce non-linguistic outputs.

Question 18

What is Natural Language Generation (NLG)?

Answer 18

The process of writing natural language from non-linguistic inputs.

Question 19

What is the NLP Pipeline?

Answer 19

A series of steps used to convert raw text into a format that can be understood by computers.

Question 20

Fill in the blank: The first step in the NLP Pipeline is ______.

Answer 20

[Sentence Segmentation]

Question 21

What is Stemming in NLP?

Answer 21

The process of reducing inflected words to their root form by removing prefixes and suffixes.

Question 22

What is Lemmatization?

Answer 22

The process of reducing inflected words to their root form while considering the dictionary.

Question 23

What are Stop Words?

Answer 23

Frequently appeared words that are often filtered out before analysis.

Question 24

What is Dependency Parsing?

Answer 24

Determining the relationship between words in a sentence.

Question 25

True or False: NER identifies only proper nouns.

Answer 25

False.

Question 26

List two advantages of NLP.

Answer 26

• Enables human-computer communication
• Provides direct and precise responses

Question 27

List two disadvantages of NLP.

Answer 27

• Challenges in understanding context
• Need for specific keywords or phrases

Question 28

What is an example of unpredictability in NLP?

Answer 28

Unexpected responses due to ambiguous or complex inputs.