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presentationnaturallanguage-181004162107.pptx

26 de Mar de 2023
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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 ANMOL SHARMA - 202010101110113 SESSION - 2022-23 COURSE – B.TECH (CS) GROUP - 64
  2. ARTIFICIAL INTELLIGENCE 2
  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
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