Sentence examples for language storage from inspiring English sources

Suggestions(1)

"language storage" is a correct and usable phrase in written English.
It is typically used to refer to a person's or a group's capacity to store and retain words, phrases, and concepts in a specific language. Example: "The language storage of bilingual individuals is often greater than that of monolingual individuals, as they have the ability to store words and concepts in two languages."

Exact(1)

Both their rich semantic knowledge and residual hippocampal tissue and hippocampal connections to temporal language storage sites may have enabled their normal performance on the test of unconscious relational encoding and retrieval (Kan et al., 2009).

Similar(59)

Topics include data modeling, database design theory, data definition and manipulation languages, storage and indexing techniques, query processing and optimization, concurrency control and recovery, and database programming interfaces.

The couple will have all year to enjoy movies, flowers, language lessons, storage space and even Italian olive oil.

Under this exemption, for example, a repository could make photocopies of manuscripts by microfilm or electrostatic process, but could not reproduce the work in "machine-readable" language for storage in an information system.

CellML [22] is another XML-based language for storage, sharing, exchange, and reuse of computer-based mathematical models.

Platform-as-a-Service typically means using a new set of tools, languages and storage mechanisms.

Anticholinergic medications deplete brain stores of the acetylcholine, known to be a key neurotransmitter in language acquisition and memory storage and retrieval.

This includes work that deals with query language [35], data storage [36],[37], data compression [38],[39], index design [40], I/O scheduling [41], and data provenance [42].

Eventually, patients with AD experience profound cognitive dysfunction that affects memory encoding and storage, language, and higher-order intellectual abilities.

Concepts covered include data models, query languages, database designs, storage structures, access methods, query processing and optimization, transaction management, and recovery in both relational and nonrelation data storage systems.

Today we are witnessing the dawn of the AI revolution; we arrived here thanks to the evolution of software languages, innovation in storage technology and processing power.

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