A new study led by Dr. Andrea Nini at The University of Manchester has found that a grammar-based approach to language ...

Psychologists have long known that social situations profoundly influence human behavior, yet have lacked a unified, ...

At the core of these advancements lies the concept of tokenization — a fundamental process that dictates how user inputs are interpreted, processed and ultimately billed. Understanding tokenization is ...

Abstract: The analysis of Mongolian dependency syntax has always been an important part of Mongolian semantic analysis, machine translation, semantic role annotation and other tasks. However, the ...

The analysis by researchers at Oregon State University provides one of the most comprehensive pictures to date of the structures that have been hit since the start of the U.S. and Israeli war against ...

Certain phase structure grammars define languages in which the phrasehood and structure of a substring of a sentence may be determined by consideration of only a bounded context of the substring. It ...

This study compares AI-generated texts (via ChatGPT) and student-written essays in terms of lexical diversity, syntactic complexity, and readability. Grounded in Communication Theory—especially ...

Understanding how language and linguistic constructions are processed in the brain is a fundamental question in cognitive computational neuroscience. This study builds directly on our previous work ...

Abstract: This paper attempts to derive a mathematical formulation for real-practice clinical laboratory scheduling, and to present a syntactic problem solver by leveraging instances’ landscape ...

Aspect-oriented sentiment analysis is a meticulous sentiment analysis task that aims to analyse the sentiment polarity of specific aspects. Most of the current research builds graph convolutional ...