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Article published In:
Register Studies
Vol. 1:1 (2019) ► pp.100–135

Register in computational language research

| Illinois Institute of Technology

Shlomo Argamon is Professor of Computer Science and Director of the Master of Data Science Program at the Illinois Institute of Technology (USA). In this article, he reflects on the current and potential relationship between register and the field of computational linguistics. He applies his expertise in computational linguistics and machine learning to a variety of problems in natural language processing. These include stylistic variation, forensic linguistics, authorship attribution, and biomedical informatics. He is particularly interested in the linguistic structures used by speakers and writers, including linguistic choices that are influenced by social variables such as age, gender, and register, as well as linguistic choices that are unique or distinctive to the style of individual authors. Argamon has been a pioneer in computational linguistics and NLP research in his efforts to account for and explore register variation. His computational linguistic research on register draws inspiration from Systemic Functional Linguistics, Biber’s multi-dimensional approach to register variation, as well as his own extensive experience accounting for variation within and across text types and authors. Argamon has applied computational methods to text classification and description across registers – including blogs, academic disciplines, and news writing – as well as the interaction between register and other social variables, such as age and gender. His cutting-edge research in these areas is certain to have a lasting impact on the future of computational linguistics and NLP.

Keywords: computational linguistics, natural language processing, style, stylistics, text classification
Article outline
  • Introduction
  • 1.How is register conceptualized in computational language research?
  • 2.How does register relate to the research goals within computational language research?
    • 2.1Aims of research in computational register analysis
      • 2.1.1Aims of register classification
      • 2.1.2Aims of multi-dimensional analysis
    • 2.2Aims of research in computational register synthesis
  • 3.What are the major methodological approaches that are used to analyze or account for register in computational language research?
    • 3.1Methods of register analysis research
      • 3.1.1Stylistic text features
      • 3.1.2Methods of register classification
      • 3.1.3Methods of multi-dimensional analysis
    • 3.2Methods of register synthesis research
  • 4.What does a typical register study look like in computational language research?
    • 4.1Classification analysis: Multidisciplinary scientific texts
    • 4.2Multi-dimensional analysis: Abusive language
    • 4.3Text generation: Customized medical information
  • 5.What are the most promising areas of future research on register in computational language research?
  • References


This article is currently available as a sample article.

Published online: 26 April 2019
DOI logo
https://doi.org/10.1075/rs.18015.arg
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