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Processing of natural language by a computer
Natural language processing (NLP) is the processing of natural language information by a computer. NLP is a subfield of computer science and is closely
Natural_language_processing
Topics referred to by the same term
Language processor may refer to: Natural language processor, a computer programmed to process human (natural) languages Programming language processor
Language_processor
American technology company
Streaming Processor (TSP) but was later rebranded as a Language Processing Unit (LPU) following the widespread adoption of large language models after
Groq
Series of activities
Biological process, a process of a living organism Cognitive process, such as attention, memory, language use, reasoning, and problem solving Mental process, a
Process
How humans use words to communicate
psycholinguistics, language processing refers to the way humans use words to communicate ideas and feelings, and how such communications are processed and understood
Language processing in the brain
Language_processing_in_the_brain
Free graphics library
(GPL) and a GNU Lesser General Public License (LGPL). Processing uses the Java programming language, with added simplifications such as added classes and
Processing
Computer program that translates code from one programming language to another
programming language processor is a computer program that converts the programming instructions written in human convenient form into machine language codes
Translator_(computing)
Statistical model of language
A language model is a computational model that predicts sequences in natural language. Language models are useful for a variety of tasks, including speech
Language_model
Programming language family
compiler, and the read–eval–print loop. The name LISP derives from "List Processor". Linked lists are one of Lisp's major data structures, and Lisp source
Lisp_(programming_language)
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language
List_of_large_language_models
Type of machine learning model
large language model (LLM) is a machine learning model (typically a neural network) trained on a vast amount of text for natural language processing tasks
Large_language_model
Overview of and topical guide to natural language processing
Natural language processing is computer activity in which computers are entailed to analyze, understand, alter, or generate natural language. This includes
Outline of natural language processing
Outline_of_natural_language_processing
Quickly accessible working storage available as part of a digital processor
A processor register is a quickly accessible storage location available to a computer's processor. It is a register, typically consisting of flip-flops
Processor_register
Language as naturally spoken by humans
A natural language or ordinary language is any spoken language or signed language used organically in a human community, first emerging without conscious
Natural_language
Set of logic terms used to describe processes
The Process Specification Language (PSL) is a set of logic terms used to describe processes. The logic terms are specified in an ontology that provides
Process Specification Language
Process_Specification_Language
Series of graphics processing units produced by ARM Holdings
Real, H.263. The Mali V52 video processor was released with the Mali G52 and G31 GPUs in March 2018. The processor is intended to support 4K (including
Mali_(processor)
Executing several computations during overlapping time periods
executed in parallel, for example, by assigning each process to a separate processor or processor core, or distributing a computation across a network
Concurrent_computing
Formal language for communicating with a computer
programming language – Programming language used in many domains Lists of programming languages Natural language processing – Processing of natural language by
Computer_language
Programming paradigm in which many processes are executed simultaneously
is the processor frequency (cycles per second). Increases in frequency increase the amount of power used in a processor. Increasing processor power consumption
Parallel_computing
Topics referred to by the same term
target language in Wiktionary, the free dictionary. Target language may refer to: Target language (computing), the computer language a language processor translates
Target_language
Structuring text as input to generative artificial intelligence
Prompt engineering is the process of structuring natural language inputs (known as prompts) to produce specified outputs from a generative AI model. Context
Prompt_engineering
Series of language models developed by Google AI
of the art for large language models. As of 2026[update], BERT is a common methodological component in natural language processing (NLP) research. BERT
BERT_(language_model)
Device or computer program used for writing and editing documents
features. Early word processors were stand-alone devices dedicated to the function, but current word processors are primarily word processor programs running
Word_processor
Early programming language for lists
Information Processing Language (IPL) is a programming language created by Allen Newell, Cliff Shaw, and Herbert A. Simon at RAND Corporation and the
Information Processing Language
Information_Processing_Language
Low-level programming language family
universally with any operating system, as the language provides access to all the real capabilities of the processor, upon which all system call mechanisms ultimately
Assembly_language
Computer science conference (1996–present)
Empirical Methods in Natural Language Processing (EMNLP) is a leading conference in the area of natural language processing and artificial intelligence
Empirical Methods in Natural Language Processing
Empirical_Methods_in_Natural_Language_Processing
Component of CNC software
post processor generates the G-code used by the machine control module. The generated code will differ for each G-code dialect the post-processor supports
Post_processor
Artificial intelligence division of Meta Platforms
One of Meta AI's research areas is natural language processing, including machine translation, natural language generation, and question answering. In 2023
Meta_AI
Central computer component that executes instructions
A central processing unit (CPU), also known as a central processor, main processor, or simply processor, is the primary processor in a given computer
Central_processing_unit
Electrical component for processing data
In computing and computer science, a processor or processing unit is an electrical component (digital circuit) that performs operations on an external
Processor_(computing)
Microprocessor with more than one processing unit
A multi-core processor (MCP) is a microprocessor on a single integrated circuit (IC) with two or more separate central processing units (CPUs), called
Multi-core_processor
List processing programming language
a list processing computer programming language, invented by Joseph Weizenbaum in the 1960s. The name SLIP stands for Symmetric LIst Processor. It was
SLIP_(programming_language)
Mental process dealing with knowledge
language, including language acquisition, comprehension, and production. Metacognitive processes deal with information about other mental processes,
Cognition
Type of large language model
natural language processing (NLP) had commonly employed supervised learning from large amounts of manually labeled data – training a large language model
Generative pre-trained transformer
Generative_pre-trained_transformer
Linguistics concept
Embodied language processing is a theory in cognitive science and linguistics. Embodied cognition occurs when an organism's sensorimotor capacities (ability
Embodied_language_processing
Method for data management
ongoing research in natural language processing. Finding which language the words belong to may involve the use of a language recognition chart. If the
Search_engine_indexing
Multilingual online dictionary
thesauri. Wiktionary's data is frequently used in various natural language processing tasks. Wiktionary was brought online on December 12, 2002, following
Wiktionary
Japanese programming language
syntax mes "Hello World!" stop HSPTV!, new Hot Soup Processor official website (in Japanese) old Hot Soup Processor official website (in Japanese) v t e
Hot_Soup_Processor
Indo-Aryan language of India
pronounced [məˈɾaːʈʰiː] ) is an Indo-Aryan language of the Indo-Iranian branch of the Indo-European language family, predominantly spoken by the Marathi
Marathi_language
Software using templates to produce documents
A template processor (also known as a template engine or template parser) is software designed to combine templates with data (defined by a data model)
Template_processor
Task of creating a processor
Processor design is a subfield of computer engineering and electronics that deals with creating a processor, a key component of computer hardware. While
Processor_design
Deconstruction of words into their meaning
or machine learning. Semantic decomposition is common in natural language processing applications. The basic idea of a semantic decomposition is taken
Semantic decomposition (natural language processing)
Semantic_decomposition_(natural_language_processing)
The history of natural language processing describes the advancements of natural language processing. There is some overlap with the history of machine
History of natural language processing
History_of_natural_language_processing
Search service for journal articles
Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated
Semantic_Scholar
for the B1700, initially codenamed the PLP ("Proper Language Processor" or "Program Language Processor"), was done at the Burroughs Pasadena plant. Production
Burroughs_B1000_series
Standardized AI performance test
A language model benchmark is a standardized test designed to evaluate the performance of language models on various natural language processing tasks
Language_model_benchmark
Computer executable language
Business Process Execution Language (WS-BPEL), commonly known as BPEL (Business Process Execution Language), is an OASIS standard executable language for specifying
Business Process Execution Language
Business_Process_Execution_Language
High-level programming language first released in 1980
technology—Programming languages—Ada: Conformity assessment of a language processor (ACATS) IEEE Standard 1003.5b-1996, the POSIX Ada binding Ada Language Mapping Specification
Ada_(programming_language)
General-purpose macro processor
general-purpose macro processor included in most Unix-like operating systems, and is a component of the POSIX standard. The language was designed by Brian
M4_(computer_language)
2nd episode of the 5th season of Star Trek: The Next Generation
that metaphors are a challenge in natural language processing, and the lack of information about the language caused the universal translator to fail in
Darmok
Computer programming paradigm
Depending on the context, processor design can be tuned for maximum efficiency or for a trade-off with flexibility. Stream processing is especially suitable
Stream_processing
Type of artificial intelligence model
Small language models (SLM) or compact language models are artificial intelligence language models designed for human natural language processing including
Small_language_model
Foundation model allowing control of robot actions
robot learning, a vision–language–action model (VLA) is a class of multimodal foundation models that integrates vision, language and actions. Given an input
Vision–language–action_model
Programming language that uses first order logic
the project (in 1992) a machine with 1000 processors achieving 1 GLIPS, implying at least 1 MLIPS per processor. Sega implemented Prolog for use with the
Prolog
Intelligence in machines
learning, reasoning, knowledge representation, planning, natural language processing, and perception, as well as support for robotics. To reach these
Artificial_intelligence
Computer processor which works on arrays of several numbers at once
In computing, a vector processor is a central processing unit (CPU) that implements an instruction set where its instructions are designed to operate
Vector_processor
West Germanic language
Germanic language of the Indo-European language family that emerged in early medieval England and has since become a global lingua franca. The language is named
English_language
Software programming optimization technique
the result as a memoizing purely functional top-down backtracking language processor. Frost showed that basic memoized parser combinators can be used as
Memoization
Study of computation
the generation of images. Programming language theory considers different ways to describe computational processes, and database theory concerns the management
Computer_science
effort to integrate many artificial intelligence approaches (natural language processing, speech recognition, machine vision, probabilistic logic, planning
List of artificial intelligence projects
List_of_artificial_intelligence_projects
Machine learning paradigm using minimal training data
identify a new object by studying a small number of pictures. In language processing, it helps AI systems understand and respond to tasks with only a
Few-shot_learning
Programming language with hardware abstraction
"high-level" a programming language is. High-level refers to a level of abstraction from the hardware details of a processor inherent in machine and assembly
High-level programming language
High-level_programming_language
Tel Aviv-based company
specializing in Natural Language Processing (NLP), which develops AI systems that can understand and generate natural language. AI21 Labs was founded in
AI21_Labs
Natural language processing computer program
ELIZA is an early natural language processing computer program developed from 1964 to 1967 at MIT by Joseph Weizenbaum. Created to explore communication
ELIZA
Models used to produce word embeddings
In natural language processing, Word2Vec is a technique for obtaining vector representations of words as word embeddings. These vectors capture information
Word2Vec
Machine learning technique
sequence relative to the other components in that sequence. In natural language processing, importance is represented by weights assigned to each word in a
Attention_(machine_learning)
1964 US scientific committee on computational linguistics
ALPAC (Automatic Language Processing Advisory Committee) was a committee of seven scientists led by John R. Pierce, established in 1964 by the United
ALPAC
Scientific study of language
gestures in sign languages), phonology (the abstract sound system of a particular language, and analogous systems of sign languages), and pragmatics (how
Linguistics
Academic journal
Natural Language Processing is a bimonthly peer-reviewed academic journal published by Cambridge University Press which covers research and software in
Natural Language Processing (journal)
Natural_Language_Processing_(journal)
Shell for Windows NT and other operating systems
to alter the behavior of the command line processor. The caret character forces the command line processor to interpret them literally. Supports delayed
Command_Prompt_(Windows)
Training methods used after LLM pretraining
A large language model (LLM) needs to be trained. The training of an LLM has become more complex over time. Pretraining is the training stage where the
Training of large language models
Training_of_large_language_models
American visual artist (born 1973)
visual artist who examines language and written texts through painting, drawing, sculpture, video, and other media. She uses language and exchanges with writers
Alexandra_Grant
Visual programming language
programming language for sound design used by musicians, researchers, and sound designers. In Kyma, a user programs a multiprocessor digital signal processor (DSP)
Kyma_(sound_design_language)
Algorithm for modelling sequential data
found many applications since. They are used in large-scale natural language processing, computer vision (vision transformers), reinforcement learning, audio
Transformer_(deep_learning)
Processor using Java bytecode as its instruction set
commercial implementations included: The aJile processor was the most successful ASIC Java processor. Cjip from Imsys Technologies. Available on boards
Java_processor
Structured system of communication
those rules. All languages rely on the process of semiosis to relate signs to particular meanings. Oral, manual and tactile languages contain a phonological
Language
Determination of language from a text sample
In natural language processing, language identification or language guessing is the problem of determining which natural language a given content is in
Language_identification
Call Processing Language (CPL) is a language that can be used to describe and control Internet telephony services. It is designed to be implementable
Call-Processing_Language
Language for transforming XML documents
of the processor's output. A typical processor behaves as follows. First, assuming a stylesheet has already been read and prepared, the processor builds
XSLT
American linguist
natural language processing. She has published several papers on the risks of large language models and on ethics in natural language processing and co-authored
Emily_M._Bender
Macro processor that is not tied to a particular language or piece of software
general-purpose macro processor or general purpose preprocessor is a macro processor that is not tied to or integrated with a particular language or piece of software
General-purpose macro processor
General-purpose_macro_processor
Model and data exchange language
A Language for Process Specification (ALPS) is a model and data exchange language developed by the National Institute of Standards and Technology in the
A Language for Process Specification
A_Language_for_Process_Specification
Methods in artificial intelligence research
rules dedicated to particular jobs, such as editing a line in a word processor or performing a calculation in a spreadsheet, neural networks typically
Symbolic artificial intelligence
Symbolic_artificial_intelligence
CPU chip: 48. Manycore processors, originating from the cancelled Larrabee processor. 2010: Knights Ferry (32-core processor prototype on 45nm) 2012:
List_of_Intel_processors
Subtopic of natural language processing in artificial intelligence
Natural language understanding (NLU) or natural language interpretation (NLI) is a subset of natural language processing in artificial intelligence that
Natural language understanding
Natural_language_understanding
Topics referred to by the same term
Language learning or language acquisition is the process by which humans acquire the capacity to use language. Language learning may also refer to: Language
Language learning (disambiguation)
Language_learning_(disambiguation)
Method in natural language processing
In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation
Word_embedding
Quantum computing applied to natural language processing
Quantum natural language processing (QNLP) is the application of quantum computing to natural language processing (NLP). It computes word embeddings as
Quantum natural language processing
Quantum_natural_language_processing
Special case of the n-gram, where n is 3
case of the n-gram, where n is 3. They are often used in natural language processing for performing statistical analysis of texts and in cryptography
Trigram
Type of feedforward neural network
classification, image segmentation, medical image analysis, natural language processing, brain–computer interfaces, and financial time series. Feedforward
Convolutional_neural_network
Computer memory management methodology
of memory Heap pollution However, the run-time environment for a language processor may subdivide the memory dynamically acquired from the operating system
Memory_management
Non-language factors that enhance understanding of communication
making them important for computational linguistics and natural language processing. Communicative systems presuppose contexts that are structured in
Context
Early-to-mid 1960s operating system for the scientific line of IBM mainframes
Operating System Version 13 IBJOB Processor", Form C28-6389-1 "IBM 7090/7094 IBSYS Operating System Version 13 IBJOB Processor Debugging Package", Form C28-6393-2
IBM_7090/94_IBSYS
Quantum computing chip
The Willow processor is a 105-qubit superconducting quantum processor developed by Google's Quantum AI division, manufactured in Santa Barbara, California
Willow_processor
Process of word formation by combining morphemes of singular meaning
morphological process in which words are formed by stringing together morphemes (word parts), each of which corresponds to a single syntactic feature. Languages that
Agglutination
Programming language specialized to a specific application domain
domain-specificity and general-purpose programming language constructs Potential loss of processor efficiency compared with hand-coded software Proliferation
Domain-specific_language
Such chatbots often use large language models (LLMs) and natural language processing, but simpler chatbots have existed for decades. Entries in this column
List_of_chatbots
Technique in neural networks for learning joint representations of text and images
Contrastive language–image pre-training (CLIP) is a technique for training a pair of neural network models, one for image understanding and one for text
Contrastive language–image pre-training
Contrastive_language–image_pre-training
Professional organization devoted to linguistics
working on natural language processing. Its namesake conference is one of the primary high impact conferences for natural language processing research, along
Association for Computational Linguistics
Association_for_Computational_Linguistics
Process of hearing and understanding language
Speech perception is the process by which the sounds of language are heard, interpreted, and understood. The study of speech perception is closely linked
Speech_perception
travel, tourism, insurance
LANGUAGE PROCESSOR
LANGUAGE PROCESSOR
Boy/Male
Hindu
Language of God
Boy/Male
Indian, Tamil
Sweet Language
Girl/Female
Hindu, Indian, Tamil
Sweet Language
Boy/Male
Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi
Language of God
Surname or Lastname
English
English : habitational name from Langdale, Cumbria, named in Old Norse as ‘long valley’, from lang ‘long’ + dalr ‘valley’.Possibly an Americanized form of Norwegian Langdal, Langdalen, Langdahl, habitational names from any of numerous farmsteads named Langdal(en), having the same etymology as 1.
Girl/Female
Assamese, Bengali, Gujarati, Hindu, Indian, Jain, Kannada, Malayalam, Marathi, Sanskrit, Tamil, Telugu
Language
Boy/Male
Tamil
Girven | கீரà¯à®µà¯‡à®¨Â
Language of God
Girven | கீரà¯à®µà¯‡à®¨Â
Boy/Male
Tamil
Prangel | பà¯à®°à®¾à®‚ஜல
Language
Prangel | பà¯à®°à®¾à®‚ஜல
Girl/Female
Hindu, Indian
Child Language
Boy/Male
Arabic, Muslim
Tongue; Language
Girl/Female
Tamil
Language
Girl/Female
British, Hindu, Indian, Norwegian, Sanskrit, Tamil
Language of Vedas
Boy/Male
Tamil
Girvan | கிரà¯à®µà®¾à®¨
Language of God
Girvan | கிரà¯à®µà®¾à®¨
Girl/Female
Bengali, Gujarati, Hindu, Indian
Language
Girl/Female
Hindu, Indian
Beautiful Language
Boy/Male
Hindu
Language
Girl/Female
Hindu, Indian, Marathi
Language of Bihar
Boy/Male
Hindu
Language of God
Girl/Female
Tamil
Tamilarasi | தாமீலாரஸீÂ
Queen of Tamil language
Tamilarasi | தாமீலாரஸீÂ
Boy/Male
Muslim
Language of religion (Islam)
LANGUAGE PROCESSOR
LANGUAGE PROCESSOR
LANGUAGE PROCESSOR
LANGUAGE PROCESSOR
LANGUAGE PROCESSOR
LANGUAGE PROCESSOR
LANGUAGE PROCESSOR
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