ABSTRACT
In this chapter, I will survey studies on linguistic alignment in order to connect
the inferences we make from large datasets to the psycholinguistics of dialogue.
This work is motivated by a high-level question: How does our mind select and
combine words in a way that reliably communicates our intentions to a dialogue
partner? The search for a computational answer to this question has been revitalized
in recent years by the advent of large datasets. Large data give us a window into an
individual’s mind and a cooperative process between minds. It allows us to look at
how dialogue partners gradually converge in their choices of words and sentence
structure, thereby creating a shared language.
