Results 151 to 160 of about 318,670 (335)
Learning probabilistic context-free grammars from treebanks [PDF]
Jose L. Verdú-Mas +2 more
openalex +1 more source
ABSTRACT The proliferation of generative artificial intelligent (GenAI) models and tools are revolutionizing how existing practices are transformed across multiple industries, including English language education. Simultaneously, the capabilities of these models are shaping how teachers reevaluate their roles as educators, especially in high‐stakes ...
Josh Hayes, A. Jane Loper
wiley +1 more source
Es un hecho conocido que toda gramática libre de contexto puede ser transformada a la forma normal de Chomsky de tal forma que los lenguajes generados por las dos gramáticas son equivalentes.
Fredy Ángel Miguel Amaya Robayo +1 more
doaj
Synchronous context-free grammars and optimal linear parsing strategies [PDF]
Pierluigi Crescenzi +4 more
openalex +1 more source
ABSTRACT A complex interplay of cognitive, emotional and contextual factors shapes student learning and academic success. This study examined the relationships among learning styles, student satisfaction, academic engagement, gender, and academic performance of senior high school students in the La Dade‐Kotopon Municipality of Ghana.
Francis Britwum +5 more
wiley +1 more source
Computational Power of Static Watson-Crick Context-free Grammars
Wan Heng Fong +3 more
openalex +2 more sources
Pfold: RNA secondary structure prediction using stochastic context-free grammars [PDF]
Bjarne Knudsen, Jotun Hein
openalex +1 more source
Pushdown Automata and Context-Free Grammars in Bisimulation Semantics [PDF]
J. C. M. Baeten +2 more
openalex +1 more source
A mixed beverage of yerba mate and lychee was developed and optimized. The 70:30 lychee‐to‐mate formulation provided the best balance of antioxidant activity and consumer acceptance, highlighting its potential as a functional beverage. ABSTRACT The development of functional beverages that combine bioactive compounds with sensory appeal is of growing ...
Marcela Moreira Terhaag +7 more
wiley +1 more source
ABSTRACT The purpose of this article is primarily to evaluate whether machine learning (a form of artificial intelligence) can meet scientific, professional, and legal principles of personnel selection based on the rapidly accumulating research literature in Human Resource Management (HRM).
Michael A. Campion
wiley +1 more source

