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Search references for SEMANTIC FEATURE. Phrases containing SEMANTIC FEATURE
See searches and references containing SEMANTIC FEATURE!SEMANTIC FEATURE
A semantic feature is a component of the concept associated with a lexical item ('female' + 'performer' = 'actress'). More generally, it can also be a
Semantic_feature
Type of memory referring to general world knowledge
Semantic memory refers to general world knowledge that humans have accumulated throughout their lives. This general knowledge (word meanings, concepts
Semantic_memory
Wiki that implements semantic web
A semantic wiki is a wiki that has an underlying model of the knowledge described in its pages. Regular, or syntactic, wikis have structured text and untyped
Semantic_wiki
Concept in natural language processing
Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning
Semantic_similarity
A semantic class contains words that share a semantic feature. For example within nouns there are two sub classes, concrete nouns and abstract nouns.
Semantic_class
Extension of the Web to facilitate data exchange
The Semantic Web, sometimes known as Web 3.0, is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal
Semantic_Web
Use of computational tools for the study of linguistics
involves the creation of computational models that simulate particular semantic phenomena, and the evaluation of those models against data from human participants
Computational_linguistics
Any characteristic used to classify a phoneme or word
Areal feature Distinctive feature Featural writing system Markedness Semantic feature Kibort, Anna & Corbett, Greville G. Grammatical Features - Feature Inventory
Feature_(linguistics)
Difference between two descriptions of an object by different linguistic representations
The semantic gap characterizes the difference between two descriptions of an object by different linguistic representations, for instance languages or
Semantic_gap
Technique in computer science
Semantic matching is a technique used in computer science to identify information that is semantically related. Given any two graph-like structures, e
Semantic_matching
Mathematical study of the meaning of programming languages
of correctness, equivalence, and termination". Floyd further wrote: A semantic definition of a programming language, in our approach, is founded on a
Semantics (programming languages)
Semantics_(programming_languages)
Non-language factors that enhance understanding of communication
Context Prototype theory Force dynamics Polysemy Semantic change Semantic feature Semantic field Semantic gap Syntax–semantics interface Theory of descriptions
Context
Linguistic methodology
In linguistics, semantic analysis is the process of relating syntactic structures, from the levels of words, phrases, clauses, sentences and paragraphs
Semantic analysis (linguistics)
Semantic_analysis_(linguistics)
Study of meaning in language
meaning components called semantic features. The word horse has the semantic feature animate but lacks the semantic feature human. It may not always be
Semantics
Natural language processing task
Semantic parsing is the task of converting a natural language utterance to a logical form: a machine-understandable representation of its meaning. Semantic
Semantic_parsing
Aspect of a linguistic unit
Semantic properties or meaning properties are those aspects of a linguistic unit, such as a morpheme, word, or sentence, that contribute to the meaning
Semantic_property
Technique in natural language processing
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between
Latent_semantic_analysis
File system prioritizing associative access
Semantic file systems are file systems used for information persistence which structure the data according to their semantics and intent, rather than their
Semantic_file_system
Machine learning method for concept approximation
In machine learning, semantic analysis of a text corpus is the task of building structures that approximate concepts from a large set of documents. It
Semantic analysis (machine learning)
Semantic_analysis_(machine_learning)
Computational application of concept approximation
Semantic analysis (computational) within applied linguistics and computer science, is a composite of semantic analysis and computational components. Semantic
Semantic analysis (computational)
Semantic_analysis_(computational)
The semantic feature comparison model is used "to derive predictions about categorization times in a situation where a subject must rapidly decide whether
Semantic feature-comparison model
Semantic_feature-comparison_model
Topic in the field of cognitive linguistics
account for asymmetries in the ways that words are used. According to a semantic feature analysis, there is nothing more to the meanings of "boy" and "girl"
Cognitive_semantics
Search service for journal articles
Semantic Scholar is a research tool for scientific literature. It is developed at the Allen Institute for AI and was publicly released in November 2015
Semantic_Scholar
Principle in linguistics about meaning
related disciplines, the principle of compositionality (also known as semantic compositionalism) is the principle that the meaning of a complex expression
Principle_of_compositionality
Study of programming languages via mathematical objects
Compositionality below. Full completeness or definability: Every morphism of the semantic model should be the denotation of a program. An important aspect of denotational
Denotational_semantics
Abstract syntax representing expressions as graphs
In computer science, an abstract semantic graph (ASG) or term graph is a form of abstract syntax in which an expression of a formal or programming language
Abstract_semantic_graph
Approach to static program analysis
finite traces). The goal of static analysis is to derive a computable semantic interpretation at some point. For instance, one may choose to represent
Abstract_interpretation
Grammatical and/or semantic category of nouns
Animacy (antonym: inanimacy) is a grammatical and semantic feature, existing in some languages, expressing how sentient or alive the referent of a noun
Animacy
Inability to comprehend or formulate language
drawing as a way of communicating, trained conversation partners Semantic feature analysis (SFA) – a type of aphasia treatment that targets word-finding
Aphasia
Theory of categorization in psychology
attributed to PlatoPages displaying short descriptions of redirect targets Semantic feature-comparison model Similarity (philosophy) – Relation of resemblance
Prototype_theory
Meaning represented by natural language
involves the creation of computational models that simulate particular semantic phenomena, and the evaluation of those models against data from human participants
Computational_semantics
Aspect of information processing
Semantic queries allow for queries and analytics of associative and contextual nature. Semantic queries enable the retrieval of both explicitly and implicitly
Semantic_query
Logic for proving computer program correctness
Context Prototype theory Force dynamics Polysemy Semantic change Semantic feature Semantic field Semantic gap Syntax–semantics interface Theory of descriptions
Axiomatic_semantics
Semantic feature of noun phrases in linguistics
In linguistics, definiteness is a semantic feature of noun phrases that distinguishes between referents or senses that are identifiable in a given context
Definiteness
Semantic feature of noun phrases
In linguistics, specificity is a semantic feature of noun phrases (NPs) that distinguishes between entities/nouns/referents that are unique in a given
Specificity_(linguistics)
Subfield of linguistic semantics
decomposition of lexical items the differences and similarities in lexical semantic structure cross-linguistically the relationship of lexical meaning to sentence
Lexical_semantics
Linguistic discipline studying words
of lexicology. Since lexicology studies the meaning of words and their semantic relations, it often explores the history and development of a word. Etymologists
Lexicology
Inability to recall words when speaking
Retrieved 2019-12-04. Wambaugh JL, Ferguson M (2007). "Application of semantic feature analysis to retrieval of action names in aphasia". J Rehabil Res Dev
Anomic_aphasia
Study of the semantics, or interpretations, of formal and natural languages
following: The archetype of model-theoretic semantics is Alfred Tarski's semantic theory of truth, based on his T-schema, and is one of the founding concepts
Semantics_(logic)
Semantic folding theory describes a procedure for encoding the semantics of natural language text in a semantically grounded binary representation. This
Semantic_folding
Computer interface design concept
In computer science, the semantic desktop is a collective term for ideas related to changing a computer's user interface and data handling capabilities
Semantic_desktop
Branch of logic using category theory to study mathematical structures
Context Prototype theory Force dynamics Polysemy Semantic change Semantic feature Semantic field Semantic gap Syntax–semantics interface Theory of descriptions
Categorical_logic
Category of formal programming language semantics
Context Prototype theory Force dynamics Polysemy Semantic change Semantic feature Semantic field Semantic gap Syntax–semantics interface Theory of descriptions
Operational_semantics
Mistakes that children commonly commit when first learning language
developmental causes and reasons for these mistakes. One theory, the semantic feature hypothesis, states that mistakes occur because children acquire the
Errors_in_early_word_use
Force dynamics is a semantic category that describes the way in which entities interact with reference to force. Force Dynamics gained a good deal of attention
Force_dynamics
Whether a word specifies the time/location/quantity of what it references or not
In linguistics, boundedness is a semantic feature that relates to an understanding of the referential limits of a lexical item. Fundamentally, words that
Boundedness_(linguistics)
Language disorder class of fluent aphasias
patients with word finding problems. One example of a semantic approach is referred to as semantic feature analyses. The process includes naming the target
Receptive_aphasia
Philosophical theory by Bertrand Russell
flytrap") is misleading, as it does not correlate their logical and/or semantic architecture. While descriptions may seem like fairly uncontroversial phrases
Theory_of_descriptions
Context Prototype theory Force dynamics Polysemy Semantic change Semantic feature Semantic field Semantic gap Syntax–semantics interface Theory of descriptions
Concurrency_semantics
first-order semantic entities. First-order refers to how, unlike in denotational semantics, where a semantic function can be applied to another semantic function
Action_semantics
Linguistic school of thought
certain words and utterances. The concept of sense relations as a means of semantic interpretation is an offshoot of this theory as well. Structuralism has
Structural_semantics
Relational databases concept
from other tables or it may indicate some other technical rather than semantic feature of the table. Some languages and software have special syntax features
Primary_key
Method in natural language processing
or semantic feature space models have been used as a knowledge representation for some time. Such models aim to quantify and categorize semantic similarities
Word_embedding
Subfield of computational linguistics and natural language processing
linguistics Information retrieval Latent semantic analysis Latent semantic indexing Semantic analytics Semantic similarity Statistical natural language
Statistical_semantics
Context Prototype theory Force dynamics Polysemy Semantic change Semantic feature Semantic field Semantic gap Syntax–semantics interface Theory of descriptions
Algebraic semantics (computer science)
Algebraic_semantics_(computer_science)
All the words in a language collectively
particular subset within English lexis, encompassing only words that are semantically related to the religious sphere of life. In systemic-functional linguistics
Lexis_(linguistics)
Approach to formal semantics
semantics has led to fully abstract semantic models for a variety of programming languages, and to new semantic-directed methods of software verification
Game_semantics
Psychological categorization proposal
event exemplars differs from the categorization of individual exemplars. Feature frequency controls how events are categorized, adding to a more summarized
Exemplar_theory
Psychological construct pertaining to facial recognition
PMID 18958243. James, T. W.; Gauthier, I. (2003). "Auditory and action semantic feature types activate sensory-specific perceptual brain regions" (PDF). Current
Greeble_(psychology)
Fundamental unit of cognition
Chengqing (2022). "An fMRI Dataset for Concept Representation with Semantic Feature Annotations". Scientific Data. 9 (1) 721. Bibcode:2022NatSD...9..721W
Concept
Manipulation of data before it is analyzed
about. In regards to semantic data mining and semantic pre-processing, ontologies are a way to conceptualize and formally define semantic knowledge and data
Data_preprocessing
Type of database that uses vectors to represent other data
embeddings or deep learning networks. The goal is that semantically similar data items receive feature vectors close to each other. Vector retrieval can be
Vector_database
Measurable property or characteristic
In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. Choosing informative, discriminating
Feature_(machine_learning)
Reformulation of Floyd-Hoare logic
theorem proving assistant): see Frama-C or ESC/Java2. Unlike many other semantic formalisms, predicate transformer semantics was not designed as an investigation
Predicate transformer semantics
Predicate_transformer_semantics
Extraction of meaning from audio
Semantic audio is the extraction of meaning from audio signals. The field of semantic audio is primarily based around the analysis of audio to create
Semantic_audio
Algebraic structure also called skew field
in the article on fields. The name "skew field" has an interesting semantic feature: a modifier (here "skew") widens the scope of the base term (here "field")
Division_ring
Componential analysis (feature analysis or contrast analysis) is the analysis of words through structured sets of semantic features, which are given as
Componential_analysis
W3C recommendation
any other type of structured controlled vocabulary. SKOS is part of the Semantic Web family of standards built upon RDF and RDFS, and its main objective
Simple Knowledge Organization System
Simple_Knowledge_Organization_System
Piece of information about the content of an image
In computer vision and image processing, a feature is a piece of information about the content of an image; typically about whether a certain region of
Feature_(computer_vision)
Method used to normalize the range of independent variables
Feature scaling is a method used to normalize the range of independent variables or features of data. In data processing, it is also known as data normalization
Feature_scaling
Extracting features from raw data for machine learning
Feature engineering is a preprocessing step in supervised machine learning and statistical modeling which transforms raw data into a more effective set
Feature_engineering
vowel SAMPA - Schwa - Second language - Semantics - Semantic class - Semantic feature - Semantic property - Semiotics - Semivowel - Sentence - Sentence
Index_of_linguistics_articles
Interaction between syntax and semantics
and reference grammar Selection (linguistics) Semantic class Semantic feature Semantic primes Semantic property Shifting (syntax) Split intransitivity
Syntax–semantics_interface
The semantic spectrum, sometimes referred to as the ontology spectrum, the smart data continuum, or semantic precision, is in linguistics, a series of
Semantic_spectrum
Technologies employing the World Wide Web to manage spatial data
Retrieved 2007-11-21. The Geospatial Semantic Web is a vision to include geospatial information at the core of the Semantic Web to facilitate information retrieval
Web_GIS
Unique identification of incremental software updates
software. The most widely adopted scheme for version numbers is known as semantic versioning (SemVer), which comprises a three-part version number (Major
Software_versioning
Process of linking data objects in distinct models
not follow the discovered transformation logic. Semantic mapping is similar to the auto-connect feature of data mappers with the exception that a metadata
Data_mapping
Processing of natural language by a computer
elaborate feature engineering. Since 2015, neural network–based methods have increasingly replaced traditional statistical approaches, using semantic networks
Natural_language_processing
Embedding of data within a manifold based on a similarity function
training a neural network on a large corpus of text. Word2Vec captures semantic and syntactic relationships between words, allowing for meaningful computations
Latent_space
Type of knowledge base
relationships underlying these entities. Since the development of the Semantic Web, knowledge graphs have often been associated with linked open data
Knowledge_graph
recall and word order; for linguistic feature, it is divided into the syntactic feature and the semantic feature respectively. Some state-of-the-art overview
Evaluation of machine translation
Evaluation_of_machine_translation
Indian Old Testament Scholar (born 1952)
Context Prototype theory Force dynamics Polysemy Semantic change Semantic feature Semantic field Semantic gap Syntax–semantics interface Theory of descriptions
P._G._George
1994 studio album by Delerium
Semantic Spaces is the seventh studio album by Canadian industrial/electronic music group Delerium in 1994. Guest musicians on the album include Greg Reely
Semantic_Spaces
English-language edition of Wikipedia
Chris; Miller, Carl; Weir, David. "Identifying Sock-Puppets on Wikipedia: A Semantic Clustering Approach". ISD. Archived from the original on 5 October 2024
English_Wikipedia
Logographic writing system
signs with 18%, and semantic–form and phonetic–form compounds together accounting for 19%. The remaining 58% are phono-semantic compounds. The 20th-century
Chinese_characters
Item of metadata attached to a document
or machine-readable semantic information, as in the semantic web. This includes CSV and XLS. The process of assigning semantic annotations to tabular
Annotation
Question form found in Chinese languages
perfective aspect While m-1 occurs as a free morpheme with its own semantic feature indicating volition, m-2 cannot function by itself as a verb and works
A-not-A_question
Programming language
of the first programming languages to use where clauses. A notable semantic feature was the ability to define new data types, as a (possibly recursive)
ISWIM
Geospatial and graph component of Oracle Database
with partitioned loading of large networks into memory. The RDF Semantic Graph feature supports the World Wide Web Consortium (W3C) RDF standards. It provides
Oracle_Spatial_and_Graph
Models used to produce word embeddings
are nearby as measured by cosine similarity. This indicates the level of semantic similarity between the words, so for example the vectors for walk and ran
Word2vec
Vectorizing features using a hash function
In machine learning, feature hashing, also known as the hashing trick (by analogy to the kernel trick), is a fast and space-efficient way of vectorizing
Feature_hashing
Software that translates code from one programming language to another
the compiler. Semantic analysis adds semantic information to the parse tree and builds the symbol table. This phase performs semantic checks such as
Compiler
Set of learning techniques in machine learning
learning or feature learning is a set of techniques that allow a system to automatically discover the representations needed for feature detection or
Representation_learning
Sentence composed of homonyms
Dmitri Borgmann's Beyond Language: Adventures in Word and Thought. A semantically equivalent form preserving the original word order is: "Buffalonian bison
Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo
Buffalo_buffalo_Buffalo_buffalo_buffalo_buffalo_Buffalo_buffalo
Concept in the philosophy of language
In the philosophy of language, semantic externalism (the opposite of semantic internalism) is the view that the meaning of a term is determined, in whole
Semantic_externalism
MIR) is a research discipline of computer science that aims at extracting semantic information from multimedia data sources.[failed verification] Data sources
Multimedia information retrieval
Multimedia_information_retrieval
Free online crowdsourced encyclopedia
other Wikimedia Foundation projects and make it available in a queryable semantic format, RDF. As of February 2023,[update] it has over 101 million items
Wikipedia
Method in statistics
the original features in semantic clusters and combining features mapped in the same cluster to generate an extracted feature. Given a data set, this method
Semantic_mapping_(statistics)
Type of machine learning model
et al. (28 June 2025). "Quantifying Fairness in LLMs Beyond Tokens: A Semantic and Statistical Perspective". COLM. arXiv:2506.19028. Nicoletti, Leonardo;
Large_language_model
Loaned translation of an expression
possible and natural. Calquing is distinct from phono-semantic matching: while calquing includes semantic translation, it does not consist of phonetic matching—i
Calque
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