A new artificial intelligence model automatically learns higher-level language patterns that can apply to different languages, enabling it to achieve better results.
Machine learning algorithms help researchers identify speech patterns in children on the autism spectrum that are consistent between different languages.
Artificial intelligence can understand complex words and concepts by representing the meaning of words in a similar way that correlates with human judgments.
When chatbots are faced with human interaction containing similes and idioms, their performance falls to between 10 to 20%.
A newly developed artificial intelligence algorithm can accurately detect sarcasm in comments written on social media platforms.
When reading, people are not only able to predict the next word, but also the words' grammatical properties. This allows us to read faster. The findings could help with the development of new neural networks focused on natural language processing.
Newly developed artificial intelligence technology could help counter hate speech directed at minorities and other voiceless groups.
Machine learning finds you can take a person's language behavior and estimate the types of material they have read.
A new deep learning algorithm can predict those at risk of psychosis with 93% accuracy by examining the latent semantic content of an individual's speech.
A new deep learning algorithm, based on automatic speech recognition, is able to accurately identify features in an infant's cry and differentiate between normal versus abnormal cry signals.
Researchers improved the performance of natural language processing technology to increase recognitionion of names associated with characters in Game of Thrones, and other literature, from 7% to 90%.
A new deep learning system is able to predict, with great accuracy, how different brain areas respond to specific words. The model also found concepts localized to the auditory cortex are less dependent on context.
