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Dr. Aynat Rubinstein | Department of Linguistics

Dr. Aynat Rubinstein

Aynat Rubinstein
Dr.
Aynat
Rubinstein
Generative linguistics track
MA advisor (Generative track)

Aynat Rubinstein studies semantics of natural of language and its interfaces with pragmatics and syntax. She is interested in the linguistic mechanisms that underlie the uniquely human ability to speak not just of the "here and now" but also to describe thoughts about the past, the future, what is possible or necessary, and what may have happened but did not come to pass. In her work, she makes use of empirical research methods including mining of large corpora (corpus linguistics), natural language processing (computational algorithms), and psycholinguistic experiments. Her recent work is focused on corpus based studies of the development of Modern Hebrew around the turn of the 20th century.