نتایج جستجو برای: algorithmic language
تعداد نتایج: 463176 فیلتر نتایج به سال:
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The present work suggests that sentence processing requires both heuristic and algorithmic processing streams, where the heuristic processing strategy precedes the algorithmic phase. This conclusion is based on three self-paced reading experiments in which the processing of two-sentence discourses was investigated, where context sentences exhibited quantifier scope ambiguity. Experiment 1 demon...
Computational thinking is a fundamental skill for problem-solving, it uses computational concepts and other types of such as algorithmic. The experience improving in nursing students using block-based programming environments Code.org, Lightbot, the Python textual language described. results obtained are analyzed by applying pre-and post-test to students. methodological design quasi-experimenta...
On October 20, 2022, Dr. Ryan Prox, S/Constable-in-Charge of the Crime Analytics Advisory & Developmental Unit at Vancouver Police Department and Adjunct Professor Simon Fraser University, presented on Algorithmic Technology: Fueling AI in an Ethical Transparent Way Digital Roundtable event hosted by Canadian Association for Security Intelligence Studies (CASIS)-Vancouver. The key points di...
llc is a high-level parallel language that provides support for some of the most widely used algorithmic skeletons. The language has a syntax based on OpenMP-like directives and the compiler uses direct translation to MPI to produce parallel code. To evaluate the performance of our prototype compiler we present computational results for some of the skeletons available in the language on differe...
Notions from formal language learning theory are characterized in terms of standardizing operations on classes of recursively enumerable languages. Algorithmic identification in the limit of grammars from text presentation of recursively enumerable languages is a central paradigm of language learning. A mapping, F, from the set of all grammars into the set of all grammars is a standardizing ope...
Designing measures that capture various aspects of language ability is a central task in the design of systems for automatic scoring of spontaneous speech. In this study, we address a key aspect of language proficiency assessment – syntactic complexity. We propose a novel measure of syntactic complexity for spontaneous speech that shows optimum empirical performance on real world data in multip...
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