Ambiguity
[!question]- What are the different ambiguities in NLP?
- Lexical
- Syntactic
- Semantic
- Discourse
- Pragmatic
[!question]- What is lexical ambiguity?
- Lexical ambiguity deals with words that can belong to multiple assertions. A certain word may be both used as a noun or a verb or an adverb
- Eg: Back
- back door (adjective)
- back away (adverb)
- My back hurts (noun)
[!question]- What is syntactic ambiguity?
Syntactic ambiguity deals with sentences that can have multiple syntactic forms
Eg: I heard his cell phone ring in my office!
As we you can see, with the binocular modifies the lion
But this can also be parsed as with the binocular modifying the verb saw
[!question]- What is semantic ambiguity? This deals with the actual interpretation of the sentence. The above example can be interpreted in two ways
- I saw a lion using my binoculars
- I saw a lion which was wearing a binocular
[!question]- What is metonyms? a word, name, or expression used as a substitute for something else with which it is closely associated
[!question]- What are metaphors? Refers to a thing by mentioning another
[!question]- Difference between metonyms and metaphors
- Metonyms are words that are used to refer to something else
- Eg: Pentagon refers to the US DoD office
- Metaphors are words that used to refer to something else too
- But the key difference is that metaphors suggest a likeliness
- When we use phrases like the crown there is no connection between the crown and the monarch. It is just a term used to refer the monarch
- But when we are using metaphors we are establishing that one is analogous to another