Search results
Results From The WOW.Com Content Network
Timeline of natural language processing models In 1990, the Elman network , using a recurrent neural network , encoded each word in a training set as a vector, called a word embedding , and the whole vocabulary as a vector database , allowing it to perform such tasks as sequence-predictions that are beyond the power of a simple multilayer ...
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
Aided by central processing unit (CPU) speed improvements that enabled increasingly aggressive compiling methods, the RISC movement sparked greater interest in compiler technology for high-level languages. Language technology continued along these lines well into the 1990s. Some notable languages that were developed in this period include:
A conversation with Eliza. ELIZA is an early natural language processing computer program developed from 1964 to 1967 [1] at MIT by Joseph Weizenbaum. [2] [3] Created to explore communication between humans and machines, ELIZA simulated conversation by using a pattern matching and substitution methodology that gave users an illusion of understanding on the part of the program, but had no ...
Working with language technology often requires broad knowledge not only about linguistics but also about computer science. It consists of natural language processing (NLP) and computational linguistics (CL) on the one hand, many application oriented aspects of these, and more low-level aspects such as encoding and speech technology on the ...
Indeed, this framework has been fruitful on a number of levels. For a start, it has given birth to a new discipline, known as natural language processing (NLP), or computational linguistics (CL). This discipline studies, from a computational perspective, all levels of language from the production of speech to the meanings of texts and dialogues.
Language technology – consists of natural-language processing (NLP) and computational linguistics (CL) on the one hand, and speech technology on the other. It also includes many application oriented aspects of these. It is often called human language technology (HLT).
The Forward Area Language Converter (FALCon) system, a machine translation technology designed by the Army Research Laboratory, was fielded 1997 to translate documents for soldiers in Bosnia. [ 16 ] There was significant growth in the use of machine translation as a result of the advent of low-cost and more powerful computers.