presentationnaturallanguage-181004162107.pptx

SHRI RAMSWAROOP MEMORIAL
UNIVERSITY,DEVA ROAD BARABANKI(UP )
PRESENTATION ON - NATURAL LANGUAGE PROCESSING
SUBMITTED TO –
MR. ANUPAM SINGH
SUBMITTED BY-
MUKESH SINGH - 202010101110109
TANYA SINGH - 202010101110114
SESSION - 2022-23
COURSE – B.TECH (CS)
GROUP - 64
ARTIFICIAL
INTELLIGENCE
2
Natural language processing
3
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
4
1. Natural language understanding
2. Natural language generation
Components of NLP
Natural language generation
5
●A software process that transforms data into written narrative.
●Referred to as a text generation.
●Data must be formatted (structured data) before entering.
Benefits
6
●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
Natural language understanding
7
●Takes sentences as input and understands it to apply in particular action
●A branch of Artificial Intelligence
●A large amount of human knowledge assumed
Level of knowledge used in NLU
8
1. Phonological
2. Morphological
3. Syntactic
4. Semantic
5. Pragmatic
6. world
Phonological 9
• 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
Morphological 10
• 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
Syntactic 11
• It simply deals with how sequence of words form correct sentences
• Knowledge of grammar is needed
Semantic 12
• It is concerned with the meaning of words and how to combine words
into meaningful phrases and sentences
Pragmatic 13
• 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
THANK YOU VERY MUCH
14
1 de 14

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presentationnaturallanguage-181004162107.pptx

  • 1. SHRI RAMSWAROOP MEMORIAL UNIVERSITY,DEVA ROAD BARABANKI(UP ) PRESENTATION ON - NATURAL LANGUAGE PROCESSING SUBMITTED TO – MR. ANUPAM SINGH SUBMITTED BY- MUKESH SINGH - 202010101110109 TANYA SINGH - 202010101110114 SESSION - 2022-23 COURSE – B.TECH (CS) GROUP - 64
  • 3. Natural language processing 3 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
  • 4. 4 1. Natural language understanding 2. Natural language generation Components of NLP
  • 5. Natural language generation 5 ●A software process that transforms data into written narrative. ●Referred to as a text generation. ●Data must be formatted (structured data) before entering.
  • 6. Benefits 6 ●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
  • 7. Natural language understanding 7 ●Takes sentences as input and understands it to apply in particular action ●A branch of Artificial Intelligence ●A large amount of human knowledge assumed
  • 8. Level of knowledge used in NLU 8 1. Phonological 2. Morphological 3. Syntactic 4. Semantic 5. Pragmatic 6. world
  • 9. Phonological 9 • 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
  • 10. Morphological 10 • 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
  • 11. Syntactic 11 • It simply deals with how sequence of words form correct sentences • Knowledge of grammar is needed
  • 12. Semantic 12 • It is concerned with the meaning of words and how to combine words into meaningful phrases and sentences
  • 13. Pragmatic 13 • 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
  • 14. THANK YOU VERY MUCH 14