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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.
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).
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.
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.
The origins of machine translation can be traced back to the work of Al-Kindi, a ninth-century Arabic cryptographer who developed techniques for systemic language translation, including cryptanalysis, frequency analysis, and probability and statistics, which are used in modern machine translation. [3]
The origin of language, its relationship with human evolution, and its consequences have been subjects of study for centuries.Scholars wishing to study the origins of language draw inferences from evidence such as the fossil record, archaeological evidence, contemporary language diversity, studies of language acquisition, and comparisons between human language and systems of animal ...
Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...