Discover how natural language processing (NLP) enables machines to understand cultural knowledge, grammar, and language nuances. Expert-verified answer for the IBM AI Fundamentals Exam.
Table of Contents
Question
Fill in the blank. A system that helps machines understand cultural knowledge, grammatical structures, and various language nuances is known as _____________________.
A. computer vision
B. natural language processing
C. translators
D. relational databases
Answer
B. natural language processing
Explanation
Human language is incredibly complex, so machines require systems that research scientists call natural language processing (NLP) to understand human language.
Natural language processing (NLP) is the correct answer to fill in the blank. NLP is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language.
Some key points about NLP:
- NLP combines computational linguistics, machine learning, and deep learning models to process and analyze large amounts of natural language data.
- It helps machines understand the complexities of human language, including cultural knowledge, grammatical structures, slang, metaphors, tone, and other nuances.
- Major NLP tasks include language translation, sentiment analysis, named entity recognition, relationship extraction, speech recognition, and text summarization.
- NLP powers many applications we use daily, such as virtual assistants, chatbots, autocorrect, and language translation tools.
The other options are not directly related to understanding language:
- Computer vision focuses on enabling machines to interpret and understand visual information from the world, such as identifying objects and faces in images.
- Translators are specific NLP applications that translate text from one language to another, but do not encompass the full scope of NLP.
- Relational databases are a way of structuring and storing data, but are not directly related to processing language.
In summary, natural language processing is the AI field that helps machines understand the intricacies of human language and communication. Its techniques allow computers to bridge the gap between how humans and machines communicate.
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