Cognitive scientists develop new model explaining difficulty in language comprehension
Built on recent advances in machine learning, the model predicts how well individuals will produce and comprehend sentences.
Not every reader’s struggle is the same
An MIT study finds that children from different socioeconomic backgrounds tend to have different brain patterns associated with reading difficulty.
Professor Michel DeGraff named a fellow of the Linguistics Society of America
Selection as LSA Fellow marks the highest honor in the field of linguistics.
AI that can learn the patterns of human language
On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.
These neurons have food on the brain
MIT scientists have discovered a population of neurons that light up whenever we see images of food.
Whether speaking Turkish or Norwegian, the brain’s language network looks the same
Studying speakers of 45 languages, neuroscientists found similar patterns of brain activation and language selectivity.
Study illuminates trade-off between complex words and complex sentences
A team of cognitive scientists and doctors finds that patients with aphasia use different cognitive tools to compensate for language deficits.
Hallucinating to better text translation
A machine-learning method imagines what a sentence visually looks like, to situate and ground its semantics in the real world, improving translation, like humans can.
President Guðni Thorlacius Jóhannesson of Iceland visits MIT
Delegation meets campus leaders, with an eye toward AI applications and the Icelandic language.
What words can convey
Natural language processing models capture rich knowledge of words’ meanings through statistics.
Fostering an enriching and compassionate research environment
Committed to Caring honoree Athulya Aravind helps her graduate students navigate research and academia.
Assessing connections in the brain’s reading network
State-of-the-art analysis of brain images from nearly 700 children has turned up surprisingly few links between white matter structure and reading ability.
Study suggests words are needed to think about numbers
Among adults who vary in their knowledge of number words, the ability to reason about numbers is bound by the highest number they can count to.
Demystifying machine-learning systems
A new method automatically describes, in natural language, what the individual components of a neural network do.
At MIT, learning about the language, history, and art of Arabic
Calligrapher Hajj Wafaa shares insights about his craft while MIT Global Languages announces the arrival of Arabic classes.