Abstract
Studies on linguistic alignment explain the emergence of mutual understanding in dialogue. They connect to psycholinguistic models of language processing. Recently, more computational cognitive models of language processing in the dialogue setting have been published, and they increasingly are based on observational, large datasets rather than hypothesis-driven experimentation. I review literature in data-intensive computational psycholinguistics and demonstrate the approach in a study that elucidates the mechanisms of alignment. I describe consistent results on data from large online forums, Reddit, and the Cancer Survivors Network, which suggest that linguistic alignment is a consequence of the architecture of the human memory system and not an explicit, consciously controlled process tailored to the recipient of a speaker’s contributions to the dialogue.
Original language | English (US) |
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Title of host publication | Big Data in Cognitive Science |
Publisher | Taylor and Francis |
Pages | 246-269 |
Number of pages | 24 |
ISBN (Electronic) | 9781315413563 |
ISBN (Print) | 9781138791923 |
DOIs | |
State | Published - Jan 1 2016 |
All Science Journal Classification (ASJC) codes
- General Psychology
- General Computer Science