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Natural Language Processing, image, Semantics_ee92d25079 - Coggle Diagram
Natural Language Processing
Idioms
Lewis Carroll
Lexicon of Comics
French Idioms
Computer Science
Inference
Drawing conclusions based on given data.
Machine Learning
Learning from large datasets, statistical models, and improving over time.
Computational Models
Building structures for processing language.
Challenges
Understanding Meaning
Deriving meaning from sentences with ambiguity
ex:"he saw her duck"
Common Sense Knowledge
The difficulty of capturing implicit, everyday knowledge that humans possess but machines struggle with.
Real-World Knowledge
NLP requires knowledge about the world to properly understand and generate language.
Applications
Translation
Natural Language Generation
Question Answering
N-gram Models
Applications
Training
Markov Chain Probability
Linguistics
Lexicon
Understanding the meaning and relationships of words.
Syntax
The grammatical structure of sentences.
Morphology
Understanding words by breaking them into morphemes (e.g., "preregistration").
Semantics
Meaning derived from words and sentences.
Phonology
Interpretation of speech sounds in context.
Discourse Analysis
Connections between sentences in a text.
Phonetics
Study of speech sounds.
Pragmatics
Understanding implied meaning through context and world knowledge.
Solved Problems
Named Entity Recognition (NER)
Language Identification
Optical Character Recognition (OCR)
Spelling Corrections
Part-of-Speech (POS) Tagging
Sentiment Analysis
Coreference Resolution
Word Sense Disambiguation
Purpose
Achieving human-like language processing
web links
https://botpenguin.com/glossary/semantics
https://www.englishclub.com/pronunciation/phonemic-chart.php
https://www.bbc.co.uk/programmes/p032nvf4
