English

Computational Register Analysis and Synthesis

Computation and Language 2019-01-10 v1 Artificial Intelligence

Abstract

The study of register in computational language research has historically been divided into register analysis, seeking to determine the registerial character of a text or corpus, and register synthesis, seeking to generate a text in a desired register. This article surveys the different approaches to these disparate tasks. Register synthesis has tended to use more theoretically articulated notions of register and genre than analysis work, which often seeks to categorize on the basis of intuitive and somewhat incoherent notions of prelabeled 'text types'. I argue that an integration of computational register analysis and synthesis will benefit register studies as a whole, by enabling a new large-scale research program in register studies. It will enable comprehensive global mapping of functional language varieties in multiple languages, including the relationships between them. Furthermore, computational methods together with high coverage systematically collected and analyzed data will thus enable rigorous empirical validation and refinement of different theories of register, which will have also implications for our understanding of linguistic variation in general.

Keywords

Cite

@article{arxiv.1901.02543,
  title  = {Computational Register Analysis and Synthesis},
  author = {Shlomo Engelson Argamon},
  journal= {arXiv preprint arXiv:1901.02543},
  year   = {2019}
}

Comments

A version of this article is to appear in Register Studies, 2019

R2 v1 2026-06-23T07:06:34.953Z