Al Domains: Natural Language Processing (NLP)
ICSE · Class 9 · Robotics & Artificial Intelligence
Complete topic list for Al Domains: Natural Language Processing (NLP) in ICSE Class 9 Robotics & Artificial Intelligence. Key concepts, sub-topics, and what to focus on for board exams.
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Topics in Al Domains: Natural Language Processing (NLP)
Human Language and Computer Language
- Humans use natural language in speaking and writing.
- Computer language is the language of numbers and must be precise, unambiguous, and highly structured.
- Human speech is often ambiguous and can depend on slang, regional dialects, and social context.
Natural Language Processing
- NLP is a sub-field of AI focused on enabling computers to understand and process human languages.
- It deals with interaction between computers and humans using natural language.
- The ultimate objective of NLP is to read, decipher, understand, and make sense of human languages in a valuable manner.
Why NLP is Difficult
- NLP is difficult because human speech is often ambiguous.
- Language depends on slang, regional dialects, and social context.
- Some NLP rules are high-level and abstract, such as sarcasm.
Phases of NLP
- NLP is divided into five main stages or phases.
- The order is: Lexical or Morphological Analysis, Syntax Analysis or Parsing, Semantic Analysis, Discourse Integration, and Pragmatic Analysis.
- Lexical analysis scans text as a stream of characters and turns it into readable lexemes.
Key Concepts
Central concept: Natural Language Processing (NLP)
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