Which challenge arises due to homonyms in NLP?

Distinguishing words with the same spelling but different meanings

What is a key challenge in natural language processing (NLP) due to linguistic nuances?

Understanding context, idioms, and multiple meanings of words

Which of these is NOT a typical technique for reducing latency in distributed systems?

Increasing the number of network hops

Which of the following is a solution to linguistic nuances in AI systems?

Using contextual word embeddings like BERT or GPT models

Which of these technologies is commonly used to reduce latency in cloud computing?

Content Delivery Networks (CDNs)

How does edge computing help in reducing latency?

By processing data closer to the source

What is the primary cause of latency in satellite internet connections?

The long distance that signals must travel

Which AI technique helps improve NLP by understanding linguistic nuances?

Machine learning models trained on large datasets

What role does buffering play in reducing latency in video streaming?

It temporarily stores data to prevent playback interruptions

Which linguistic nuance makes text-to-speech conversion challenging?

Pronunciation differences based on context

What is latency in computer networks?

The time it takes for a data packet to travel from source to destination

Which of these is a major problem in machine translation due to linguistic nuances?

Word-for-word translation without context

Which computational model is best suited to handle linguistic nuances?

Neural networks trained on large datasets

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Paper 3- Latency & LN

19 termsStudBud Administration4 plays

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Questions 19

Answers

1
Which of the following is an example of a linguistic nuance?
"Run" as in running in a race vs. running a business
All of the above
The use of sarcasm in text
"I saw her duck" (meaning either a bird or an action)
2
Which challenge arises due to homonyms in NLP?
Converting text into speech
Detecting incorrect grammar
Distinguishing words with the same spelling but different meanings
Recognizing different word spellings
3
What is a key challenge in natural language processing (NLP) due to linguistic nuances?
Identifying the number of syllables in a word
Understanding context, idioms, and multiple meanings of words
Converting speech into text
Translating words directly between languages
4
Which of the following can cause network latency?
Routing delays
Distance between source and destination
All of the above
Network congestion
5
Which of these is NOT a typical technique for reducing latency in distributed systems?
Data caching
Using faster hardware
Load balancing
Increasing the number of network hops
6
How can latency be reduced in online gaming?
Reducing background applications consuming bandwidth
Using a high-speed internet connection
Choosing a closer server location
All of the above
7
Which type of latency is introduced when a CPU waits for memory to respond?
Memory latency
Processing latency
Network latency
Disk latency
8
Which of the following is a solution to linguistic nuances in AI systems?
Relying only on dictionaries for word meanings
Ignoring slang and informal language
Simplifying all text inputs
Using contextual word embeddings like BERT or GPT models
9
Which linguistic issue makes sentiment analysis difficult?
Word tokenization
Lack of punctuation
Sarcasm and irony
Syntax errors
10
Which of these technologies is commonly used to reduce latency in cloud computing?
Higher encryption levels
Data fragmentation
Content Delivery Networks (CDNs)
Packet filtering
11
How does edge computing help in reducing latency?
By processing data closer to the source
By storing data on cloud servers
By increasing transmission power
By using optical fiber cables
12
What is the primary cause of latency in satellite internet connections?
Weak Wi-Fi signals
Processing delays in network routers
The long distance that signals must travel
Excessive network congestion
13
Which AI technique helps improve NLP by understanding linguistic nuances?
Hardcoded keyword search
Binary logic processing
Data compression
Machine learning models trained on large datasets
14
What role does buffering play in reducing latency in video streaming?
It temporarily stores data to prevent playback interruptions
It decreases bandwidth usage
It increases processing speed
It compresses data packets for faster transmission
15
Which linguistic nuance makes text-to-speech conversion challenging?
The number of vowels in a language
Pronunciation differences based on context
The presence of numbers in text
The length of a word
16
What is latency in computer networks?
The time it takes for a data packet to travel from source to destination
The number of data packets transmitted per second
The process of encrypting data before transmission
The measure of bandwidth availability
17
Which of these is a major problem in machine translation due to linguistic nuances?
Use of bilingual dictionaries
The inability to replace numbers accurately
Lack of computational power
Word-for-word translation without context
18
Which of these metrics is most closely related to latency in a network?
Bandwidth
Processing speed
Ping
Storage capacity
19
Which computational model is best suited to handle linguistic nuances?
Hardcoded rules-based systems
Decision trees with limited vocabulary
Simple if-else logic structures
Neural networks trained on large datasets

Paper 3- Latency & LN Flashcards | StudBud