2. Natural language processing
To build a computer that can interact with human like human
Subfield of artificial intelligent
method of communicating with an intelligent systems using a natural language(
English).
Encompass anything computer need to understand and generate language
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3. Components of NLP
1. Natural language generation
2. Natural language understanding
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4. Natural language generation
●A software process that transforms data into written narrative.
●Referred to as a text generation.
●Data must be formatted (structured data) before entering.
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5. Benefits
●Minimal Human Intervention
–Automated process minimizes human efforts.
●Interaction with Machines Becomes Easier
–Complex data will be processed in computer
●Smart Management of Business Operations
–Monitoring, report generating
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6. Natural language understanding
●Takes sentences as input and understands it to apply in particular action
●A branch of Artificial Intelligence
●A large amount of human knowledge assumed
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7. Level of knowledge used in NLU
1. Phonological
2. Morphological
3. Syntactic
4. Semantic
5. Pragmatic
6. world
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8. Phonological
• It concentrates on the way the sound is produced, how and why it
sounds like it
• Simply it can be understood as the concept used where there is
presence of the speech
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9. Morphological
• It simply deals with understanding distinct words according to their
small unit
• For example Pre-registration can be divided into:
• Pre: Perfix
• Registra: the root
• Tion: suffix
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10. Syntactic
• It simply deals with how sequence of words form correct sentences
• Knowledge of grammar is needed
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11. Semantic
• It is concerned with the meaning of words and how to combine words
into meaningful phrases and sentences
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12. Pragmatic
• It is all about the use of language in the context
• Eg:
• The city councilors refused the demonstrators a permit because they
feared violence
• The city councilors refused the demonstrators a permit because they
advocated revolution
• The meaning of they are different in two sentences
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