5. Natural language understanding:-
Here the speech input get transformed into useful
representation in order to analyse the various aspects of
language.
A natural language can be very ambiguous(different
meaning of same sentence)
Lexical ambiguity:- It mean the word level
ambiguity {noun or verb}
Syntactical ambiguity:- it is about parsing of the
sentence .eg:-f1- call me a cab.
f2- Ok,you are a cab
Referential ambiguity:- meaning is not well
referred from sentence
6. Example of referential ambiguity
MEERA went to GEETA and said ‘I am hungry’
Here who is hungry is not clear from the sentence
This is referential ambiguity
7. Natural Language Generation
This is the process of converting the information
(representation ) to natural language
The process included in this are:-
Text Planning:- It includes the extracting knowledge from
knowledge base
Sentence Planning :- this includes selection of correct
words and forming sentences which follow the grammar
Text realization :-Mapping the planned sentence into
reality
9. Lexical analysis
It deals with the recognition and identification
of structure of sentence
It divides the paragraph onto sentences,
phrases,words
10. Syntactical Analysis
Here the sentences are parsed as
noun,verb,adjectives and other part of
sentences
Here the grammar of the sentences is
analyzed in order to get the relationship
among different words in a sentences
11. Semantic Analysis
Here the actual meaning of the sentence
is extracted from the words used
It checks whether the sentence makes any
meaning
Eg.’Bitter sugar’ this is rejected in semantic
phase because it doesn’t makes any
meaning.
13. Pragmatic analysis
Here the sentences are re-interpreted
to verify the correctness of meaning in
the given context.
Here the real world knowledge of
language is required