5. Written texts, results from multiple meanings of a word,
and in spoken language, results from different word forms
of the same sounds.
What is Ambiguity?
9. (Understand Meaning)
Semantic analysis is the process
of drawing meaning from text. It
allows computers to understand
and interpret sentences,
paragraphs, or whole documents,
by analyzing their grammatical
structure, and identifying
relationships between individual
words in a particular context.
Semantic Analysis
I got it..
10. Elements of Semantic Analysis
Some important elements of semantic analysis
1. Hyponyms
2. Meronomy
3. Polysemy
4. Synonyms
5. Antonyms
6. Homonyms
16. Homonyms
Both polysemy and homonymy words
have the same syntax or spelling. The
main difference between them is that
in polysemy, the meanings of the
words are related but in homonymy,
the meanings of the words are not
related.
19. Related Link
★ https://www.tutorialspoint.com/natural_language_proce
ssing/natural_language_processing_semantic_analysis.h
tm
★ https://www.atlantis-
press.com/journals/ijndc/125905844/view
★ https://dl.acm.org/doi/fullHtml/10.1145/3325885
★ https://monkeylearn.com/blog/semantic-analysis/
★ https://en.wikipedia.org/wiki/Semantic_analysis_(lingui
stics)
★ https://www.cs.tut.fi/sgn/arg/klap/introduction-
semantics.pd
★ https://www.expert.ai/blog/natural-language-process-
semantic-analysis-definition/
★ https://zetaglobal.com/blog/what-is-semantic-analysis/
References
Paper Title
★ A Context-Sensitive Homograph Disambiguation
★ Difference-Between-Lexical-and-Structural-Ambiguity
★ Thai Word Sense Disambiguation Using Cross Language
Knowledge Sources Approach
★ Subjectivity Word Sense Disambiguation
★ Myanmar Homonym Disambiguation System
★ Effective Approach of Semantic Analysis to NLP (English-
Myanmar Language)