Introduction to NLP (Slides 12-24)

According to the slides, what is one of the four key areas related to human language?

• Technology

• Communication

• Engineering

• Science

What is Natural Language Processing (NLP) defined as in the provided slides?

• A branch of mathematics for analyzing data.

• A tool for web development.

• A branch of Artificial Intelligence (AI) that helps computers understand human language.

• A type of computer hardware.

The slides mention that a major reason we need NLP is because humans cannot analyze massive amounts of what kind of data at scale?

• Structured data

• Multimedia data

• Unstructured data

• Numerical data

Which of the following is listed as a core goal of NLP?

• Solving complex mathematical problems

• Bridging the communication gap between humans and machines

• Creating social media platforms

• Designing video games

The origin of NLP is formally considered to have begun in the:

• 1900s

• 1950s

• 1990s

• 2011

According to the slides, what was a key shift in NLP that occurred in the 1980s?

• A move from statistical models to rule-based systems.

• The debut of Siri.

• A move from rule-based systems to statistical models and machine learning.

• The invention of the Turing Test.

Which of the following is given as an example of NLP's function in 'Automating Repetitive Tasks'?

• Speech-to-text conversion

• Sentiment analysis on customer reviews

• Google Translate

• Real-time subtitles

The example of the word 'bank' having multiple meanings (a financial institution or a river bank) is used to illustrate which driving force behind NLP?

• Language Diversity

• Ambiguity in Language

• Volume & Speed

• Domain-Specific Language

What challenge is presented in the slides as a result of the world's over 7,000 languages?

• It is difficult to get a computer to count words correctly.

• It is immensely difficult to develop universal NLP systems that work for all languages.

• It increases the speed of data processing.

• It decreases the volume of unstructured data.

According to the slides, what is one of the 'driving forces' behind NLP that relates to fields like medicine or law having specialized jargon?

• Ambiguity in Language

• Cultural & Linguistic Diversity

• Domain-Specific Language

• Volume & Speed