string processing language - определение. Что такое string processing language
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Что (кто) такое string processing language - определение

FIELD OF COMPUTER SCIENCE AND LINGUISTICS
Natural Language Processing; The Natural Language Processing; Natural language and computation; Natural language recognition; Natual Language Processing; Statistical Natural Language Processing; Statistical natural-language processing; Computer natural language processing; Natural language processor; Natural language processors; NLP (computer science); Natural-language processing; Computer processing of natural language; Grammatical error correction; Grammatical error detection; Implicit semantic role labelling; Symbolic natural language processing; Statistical natural language processing
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Найдено результатов: 9132
String PRocessING language      
<language> (SPRING) ["From SPRING to SUMMER: Design, Definition and Implementation of Programming Languages for String Manipulation and Pattern Matching", Paul Klint, Math Centre, Amsterdam 1982]. (1996-02-06)
History of natural language processing         
ASPECT OF HISTORY
History of NLP; History of Natural language processing; Machine learning algorithms for natural language processing
The history of natural language processing describes the advances of natural language processing (Outline of natural language processing). There is some overlap with the history of machine translation, the history of speech recognition, and the history of artificial intelligence.
DUP programming language         
INTERPRETED AND FUNCTIONAL PROGRAMMING LANGUAGE.
DataUnit Processing language
DUP (DataUnit Processing language) is a special-purpose, interpreted and functional programming language. The DUP language looks like a mixture of C and ASN.
String (computer science)         
  • (Hyper)cube of binary strings of length 3
DATA TYPE REPRESENTING A FINITE SEQUENCE OF ENCODED CHARACTERS
String algorithm; String algorithms; String data type; String (computing); StringBuffer and StringBuilder; Text string; String (programming); Character string; Binary string; String datatype; Character string (computer science); String Object; String manipulation; StringBuffer; StringBuilder; Java.lang.String; String handling; String Buffer; String (computer programming); String-oriented; Stringology; Bytestring; Byte string; String type; Pascal string; String (software); String (formal languages); String length; Sequence of symbols; Block move; String copy; Character strings; String (code); Strings (code); Data string; Finite word
In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation).
Natural language processing         
Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them.
natural language processing         
<artificial intelligence> (NLP) Computer understanding, analysis, manipulation, and/or generation of {natural language}. This can refer to anything from fairly simple string-manipulation tasks like stemming, or building concordances of natural language texts, to higher-level AI-like tasks like processing user queries in {natural language}. (1997-09-12)
data processing         
ANY PROCESS THAT USES A COMPUTER PROGRAM TO ENTER DATA AND SUMMARISE, ANALYSE OR OTHERWISE CONVERT DATA INTO USABLE INFORMATION
Data processing system; Data Processing; Data Processor; Electronic data processing system; History of data processing; Processed data
<application> The input, verification, organisation, storage, retrieval, transformation, and extraction of information from data. The term is normally associated with commercial applications such as stock control or payroll. (1995-03-30)
Data processing system         
ANY PROCESS THAT USES A COMPUTER PROGRAM TO ENTER DATA AND SUMMARISE, ANALYSE OR OTHERWISE CONVERT DATA INTO USABLE INFORMATION
Data processing system; Data Processing; Data Processor; Electronic data processing system; History of data processing; Processed data
A data processing system is a combination of machines, people, and processes that for a set of inputs produces a defined set of outputs. The inputs and outputs are interpreted as data, facts, information etc.
data processing         
ANY PROCESS THAT USES A COMPUTER PROGRAM TO ENTER DATA AND SUMMARISE, ANALYSE OR OTHERWISE CONVERT DATA INTO USABLE INFORMATION
Data processing system; Data Processing; Data Processor; Electronic data processing system; History of data processing; Processed data
Data processing is the series of operations that are carried out on data, especially by computers, in order to present, interpret, or obtain information.
Taylor's company makes data-processing systems.
N-UNCOUNT
Data processing         
ANY PROCESS THAT USES A COMPUTER PROGRAM TO ENTER DATA AND SUMMARISE, ANALYSE OR OTHERWISE CONVERT DATA INTO USABLE INFORMATION
Data processing system; Data Processing; Data Processor; Electronic data processing system; History of data processing; Processed data
Data processing is the collection and manipulation of electronic data to produce meaningful information.

Википедия

Natural language processing

Natural language processing (NLP) is an interdisciplinary subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.

Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation.