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Natural language processing (challenges (phonology (sound examples and…
Natural language processing
challenges
phonology
sound examples and their implications both inside and crosswise over dialects
morphology
words arrangement and their association with each other
syntax
syntactic structures
semantics
discovering importance from sentences by concentrating on words
progmatics
utilizing dialects in setting
discourage analysis
passing on conceivable meaning by making association with the sentences.
lexicon
looking words in corparra or thesaurus for their antonyms and equivalent words
syntactic structures
history
1950s: turing test
1954: george town experiment (russian to english)
1960s: Eliza-psychotherapist
1970s: Theoretical ontologies
1980s: machine learning calculation
components
Natural language understanding
Natural language generation
Application of NPL
machine interpretation
access to database
data retrevial
content classification
extracting information from content
Goal
correspondence
recognition
examination
fuse
Successfull areas
Optical character acknowledgment
Named substance
Grammatical feature