Sentence examples for intuitive languages from inspiring English sources

Exact(1)

They are usually small and intuitive languages whose concepts and expressiveness fit a particular domain.

Similar(59)

He encouraged students to experiment rigorously, developing their own intuitive language of representation without concern for the operational potential of an idea.

Kathryn Hymes, 25, who left a master's program in linguistics at Stanford to join the team in late 2011, said the goal was to create "this natural, intuitive language".

Kathryn Hymes, 25, who left a master's program in linguistics at Stanford to join the team in late 2011, told The Times that the goal was to create "this natural, intuitive language".

Consequently, the exhibition developers strove to eliminate any intuitive language from the explanatory labels; even so, adult visitors not only continued to use need-based language but increased their use following the gallery visit.

The decompositional method is used at an informal level with the goal of achieving a complete coverage of the user's functional requirements, while the compositional method is used to precisely define the functionality of each scenario and to construct complex scenarios by composition of simple scenarios in a formal, intuitive language called SOFL.

3. Next, they discuss and write about the event in their everyday dialect or intuitive language.

Causal assertions are encoded using Biological Expression Language (BEL), an intuitive language developed at Selventa that provides a framework for qualitative modeling of biological processes.

Python is generally regarded as a relatively easy-to-learn, intuitive language and the basic skills required to run a STEPS simulation - such as creating and manipulating objects, running simple loops and perhaps reading and writing to files - can usually be acquired quickly.

Until recently, the only option to perform laboratory work in this kind of subjects was to use closed platforms commercially available but today, thanks to advances in technology, many open hardware options supporting standard and intuitive programming languages are available.

Contemporary technical and infrastructural developments, such as Hackerspaces, Makerspaces, TechShops, and FabLabs, and the appearance of tools such as wearable computing, robotics, 3D printing, microprocessors, and intuitive programming languages, posit making as a very promising research area to support learning processes, especially towards the acquisition of 21st-century learning competences.

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