Earticle

초록

영어

Most previous linguistic studies of web language have focused on the ‘new’ internet registers, like blogs, instant messages, and tweets. As a result, we know surprisingly little about the patterns of linguistic variation among the full range of registers found on the searchable web. The present paper provides an overview of a project that begins to fill this gap. Rather than collecting texts from only the ‘new’ web registers, the project is based on a large corpus representing a random sample of the entire searchable web. The first analytical step in the project was to analyze the types of documents found in that corpus, providing an empirical description of the composition of the searchable web. Then, Multi-Dimensional (MD) analysis was applied to describe the patterns of register variation found on the searchable web. The MD analysis first identified the sets of co-occurring linguistic features -- the ‘dimensions’ -- in this discourse domain. Then, those dimensions are used to document the similarities and differences among web registers. In conclusion, we compare our results here to previous MD studies, identifying patterns peculiar to the web versus linguistic patterns found across discourse domains.

목차

ABSTRACT
 1. Introduction
 2. Constructing the corpus of web documents
 3. Coding documents for their register categories
 4. Exploring the composition of the web
 5. The Multi-Dimensional analysis of web registers : Methodological description
  5.1 Literate-Informational
 6. The Multi-Dimensional analysis of web registers : Linguistic patterns
 7. Conclusion
 Notes
 References

키워드

저자

• Douglas Biber [ Northern Arizona University ]
• Jesse Egbert [ Northern Arizona University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Corpus Linguistics Research

• 간기

  계간

• pISSN

  2465-812X

• 수록기간

  2015~2025

• 십진분류

  KDC 701 DDC 410