Knowledge Base
It contains domain-specific and high-quality knowledge. Knowledge is required to exhibit intelligence. The success of any ES majorly depends upon the collection of highly accurate and precise knowledge. What is…
Expert Systems
Expert systems (ES) are one of the prominent research domains of AI. It is introduced by the researchers at Stanford University, Computer Science Department. What are Expert Systems? The expert…
Top-Down Parser
Here, the parser starts with the S symbol and attempts to rewrite it into a sequence of terminal symbols that matches the classes of the words in the input sentence until it…
Implementation Aspects of Syntactic Analysis
There are a number of algorithms researchers have developed for syntactic analysis, but we consider only the following simple methods − ● Context-Free Grammar ● Top-Down Parser Let us see them in…
Steps in NLP
There are general five steps − ● Lexical Analysis − It involves identifying and analyzing the structure of words. Lexicon of a language means the collection of words and phrases in a language.…
NLP Terminology
● Phonology − It is study of organizing sound systematically. ● Morphology − It is a study of construction of words from primitive meaningful units. ● Morpheme − It is primitive unit of meaning in a language. ● Syntax − It refers…
Difficulties in NLU
NL has an extremely rich form and structure. It is very ambiguous. There can be different levels of ambiguity − ● Lexical ambiguity − It is at very primitive level such as word-level.…
Components of NLP
There are two components of NLP as given − Natural Language Understanding (NLU) Understanding involves the following tasks − ● Mapping the given input in natural language into useful representations. ● Analyzing…
Disadvantages of FLSs
● There is no systematic approach to fuzzy system designing. ● They are understandable only when simple. ● They are suitable for the problems which do not need high accuracy.
Advantages of FLSs
● Mathematical concepts within fuzzy reasoning are very simple. ● You can modify a FLS by just adding or deleting rules due to flexibility of fuzzy logic. ● Fuzzy logic Systems can take…
