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

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Register in computational language research

 | Illinois Institute of Technology
Published online: 26 April 2019
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https://doi.org/10.1075/rs.18015.arg
Abstract
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.
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
References (139)
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Poucke, Margo Van
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Skantsi, Valtteri & Veronika Laippala
2025. Analyzing the unrestricted web: The finnish corpus of online registers. Nordic Journal of Linguistics 48:1 ► pp. 1 ff. DOI logo
Repo, Liina, Brett Hashimoto & Veronika Laippala
2023. In search of founding era registers: automatic modeling of registers from the corpus of Founding Era American English. Digital Scholarship in the Humanities 38:4 ► pp. 1659 ff. DOI logo
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2022. Chatbots Language Design: The Influence of Language Variation on User Experience with Tourist Assistant Chatbots. ACM Transactions on Computer-Human Interaction 29:2 ► pp. 1 ff. DOI logo
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2022. The Impact of Chatbot Linguistic Register on User Perceptions: A Replication Study. In Chatbot Research and Design [Lecture Notes in Computer Science, 13171], ► pp. 143 ff. DOI logo
Marko, Karoline, Margit Reitbauer & Georg Pickl
2022. Same person, different platform. Register Studies 4:2 ► pp. 202 ff. DOI logo
Mendhakar, Akshay
2022. Linguistic Profiling of Text Genres: An Exploration of Fictional vs. Non-Fictional Texts. Information 13:8 ► pp. 357 ff. DOI logo
Degaetano-Ortlieb, Stefania, Tanja Säily & Yuri Bizzoni
2021. Registerial Adaptation vs. Innovation Across Situational Contexts: 18th Century Women in Transition. Frontiers in Artificial Intelligence 4 DOI logo
Laippala, Veronika, Jesse Egbert, Douglas Biber & Aki-Juhani Kyröläinen
2021. Exploring the role of lexis and grammar for the stable identification of register in an unrestricted corpus of web documents. Language Resources and Evaluation 55:3 ► pp. 757 ff. DOI logo
Pérez-Guerra, Javier
2021. Theme as a proxy for register categorization. In Corpus-based approaches to register variation [Studies in Corpus Linguistics, 103], ► pp. 85 ff. DOI logo
Bizzoni, Yuri, Stefania Degaetano-Ortlieb, Peter Fankhauser & Elke Teich
2020. Linguistic Variation and Change in 250 Years of English Scientific Writing: A Data-Driven Approach. Frontiers in Artificial Intelligence 3 DOI logo
[no author supplied]
2024. Textbook English [Studies in Corpus Linguistics, 116], DOI logo

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