Alignment in web-based dialogue: Who aligns, and how automatic is it? Studies in big-data computational psycholinguistics

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

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 languageEnglish (US)
Title of host publicationBig Data in Cognitive Science
PublisherTaylor and Francis
Pages246-269
Number of pages24
ISBN (Electronic)9781315413563
ISBN (Print)9781138791923
DOIs
StatePublished - Jan 1 2016

Fingerprint

Psycholinguistics
Linguistics
Language
Survivors
Processing
Data storage equipment
Neoplasms
Big data
Datasets

All Science Journal Classification (ASJC) codes

  • Psychology(all)
  • Computer Science(all)

Cite this

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Alignment in web-based dialogue : Who aligns, and how automatic is it? Studies in big-data computational psycholinguistics. / Reitter, David.

Big Data in Cognitive Science. Taylor and Francis, 2016. p. 246-269.

Research output: Chapter in Book/Report/Conference proceedingChapter

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