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Sunday, 22 March 2020

Semantic ambiguity in natural language processing

Semantic ambiguity in natural language processing, definition of semantic ambiguity, types of ambiguity, examples of semantic ambiguity, how to resolve semantic ambiguity, what is semantic ambiguity



Semantic ambiguity 

Even after the syntax and the meanings of individual words are resolved, still there are more than one way of reading a sentence. For example, the sentence “the dog has been domesticated for more than 1000 years” could be semantically interpreted as follows;
1.     A particular dog has been domesticated or
2.     The dog species has been domesticated.
Semantic ambiguity is an uncertainty that occurs when a word, phrase or sentence has more than one interpretation.
Another example
“Ram kissed his son, and so did John”
The possible interpretations would be,
1.     Ram kissed his son and John too kissed Ram’s son
2.     Ram kissed his son and John kissed his son (actual meaning)


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Go to Pragmatic ambiguity page


What is semantic ambiguity?

Define semantic ambiguity in NLP

Why semantic ambiguity is a problem in NLP

Types of ambiguity

Example English sentences with semantic ambiguity

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