A linguist explains what makes human English human, and why you shouldn’t overdo it with large language models.

Yet, traditional ITSM frameworks often rely heavily on manual processes that create inefficiencies, accuracy issues, and slow resolution times. As organizations scale and user demands grow more ...

People often seem to understand language before they have actually heard enough words to determine its structure. In everyday ...

Researchers discover that the brain proactively builds sentence structures during speech using predictive processing, explaining why second-language listening is difficult.

For 20 years, this computational linguistics competition has inspired new generations of innovators in AI and language ...

AI fills in the gaps of basic automation. When activities require cognition, involve unstructured inputs, or require prediction, recommendation, or interpretation, AI is a must.

Westlake University today announced the launch of a free, open online course on Natural Language Processing (NLP), taught by Professor Yue Zhang, head of the NLP Lab at the School of Engineering.

Researchers have proposed a new scientific standard for evaluating whether large language models exhibit genuine moral reasoning rather than merely producing moral-sounding answers. As AI systems take ...

Add Yahoo as a preferred source to see more of our stories on Google. The first time I noticed it, I was at a dinner party in my late 20s. A man across the table was talking about a movie—nothing ...

Abstract: The objective of this paper is to apply natural language processing (NLP) techniques to analyze thematic relationships and patterns of sentiment across three of the world's religious ...

Purpose: Free-text clinical notes contain rich prognostic information often lost in traditional models limited to structured variables (e.g., age, sex, NIHSS). Deep learning–based natural language ...