Answer 1.
An expert system is designed to emulate the abilities and thought processes of a human expert. It is designed to solve complex problems by reasoning through knowledge rather than by following the procedure of a developer, like other computer programs.
Natural language processing is an entire field of computer science, not just a type of program. This field is concerned with the interactions between human languages and computers. Much of the innovation in this field of human-computer interaction is concerned with natural language understanding, or enabling computers to get meaning from human or natural language inputs.
Answer 2.
An expert system works on the basis of predefined rules of knowledge for inference. However, this knowledge may be quite constrained for a narrow domain case. In order, to process through a set of rules an expert system uses a form of chaining which could arise as either forward or backward mode. It may even utilize such optimized approaches as the RETE algorithm which is a type of forward chaining used in business processes. You may even extend an expert system using fuzzy logic to increase the reasoning ability from a bounds criteria of just 0 and 1 to the entire domain of approximations. In comparison, a natural language extends the idea of rules induction and specifies formalisms and algorithms towards understanding language semantics, syntax, lexical variations, pragmatics, and discourse within any given context of a domain. The idea is linked to the Turing Test which is nowadays considered to be a bit outdated in concept and needs to be reevaluated. Natural Languages Processing can involve deep and shallow parsing using not just rules but even probablistic machine learning algorithms. As result from Artificial Intelligence standpoint, natural language processing applications are more sophisticated and focused around computational linguistics of language and speech process engineering for a particular domain case. However, expert systems can be applied in wide case of applications but are less sophisticated as their understanding of knowledge is fairly rigid to a set of predefined if-then rules.
Language technology refers to the use of technology to work with human language. Natural language processing (NLP) involves tasks like text analysis and machine translation. Computational linguistics focuses on the study of language from a computational perspective.
Clive Matthews has written: 'An introduction to natural language processing through Prolog' -- subject(s): Prolog (Computer program language), Natural language processing (Computer science)
Natural Language Processing
SNLP stands for Supervised Natural Language Processing. This approach involves training models on labeled data to perform specific natural language processing tasks, such as text classification or named entity recognition.
Computational linguistics focuses on the study of language from a computational perspective, while natural language processing (NLP) involves the development of algorithms and models to process and understand human language. Computational linguistics is more theoretical and linguistic-focused, while NLP is more practical and application-oriented.
The term "lexical distance map" is important in natural language processing because it helps measure the similarity between languages based on their vocabulary and structure. By analyzing the lexical distance between languages, researchers can better understand how languages are related and how they have evolved over time. This information is valuable for tasks such as language translation, language classification, and studying language families.
Natural Language processing technology
A scripting language is a type of programming language that is typically interpreted and is used to automate tasks, create scripts, or manipulate data within software applications. Natural language refers to human language as spoken or written, which allows people to communicate with each other effectively. Natural language processing (NLP) is a field of computer science that involves the interaction between computers and human language.
at is the difference between natural products and pharmacognosy
Yes, there is a difference between natural gas and propane. Natural gas is a fossil fuel found underground and primarily composed of methane, while propane is a byproduct of natural gas processing and is stored and transported as a liquid. Both can be used for heating and cooking, but they have different properties and require different equipment for use.
Knowledge-based systems
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