hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Subject-Verb Agreement Errors in Swedish 9th and 11th Grade Students’ English Written Production
University of Gävle, Faculty of Education and Business Studies, Department of Humanities.
2023 (English)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study aims to investigate possible factors contributing to subject-verb agreement errors in Swedish junior and senior high school students' English written production. The sample data is collected from the Swedish Learner English Corpus (SLEC), which comprises student texts produced in a classroom setting. The texts are randomly chosen but evenly distributed in terms of binary gender, school year, and type of high school program. In this study, the texts included in the scope are written by students attending a Swedish-speaking school with Swedish as their first language.

Errors are classified as overgeneralization or transfer and further classified in relation to the subject type, the verb type, and the distance between the subject and the verb. The classification of all correct instances of subject-verb agreement is also performed to further investigate possible error explanations. A total of 41 agreement errors were found in 24 texts written by students in the 9th and 11th grades. The results show that overgeneralization is more frequent than transfer errors. Overgeneralization suggests that the students are aware of the third-singular form but do not always apply it correctly, while transfer errors show a potential lack of awareness or attention to the form. In both cases, the errors indicate that these students have not automatized the principle yet. Errors are often related to subject types “a pronoun” or “a noun/noun phrase" and the verb be, which is the most frequently used verb. Most of the errors occur when the subject and the verb are in immediate contact, and more than half of them involve a relative pronoun as subject, which indicates that the learners have misinterpreted the grammatical principle or have not fully acquired it. Overuse of the third-person singular form can also be an effect of teaching and explicit learning, which makes learners apply the form whenever it seems possible and relevant. 

Place, publisher, year, edition, pages
2023. , p. 33
Keywords [en]
Second Language Acquisition (SLA), Swedish Learner English Corpus (SLEC), Swedish-speaking learners of English, Error analysis, Subject-verb agreement, Transfer, Overgeneralization
National Category
Specific Languages
Identifiers
URN: urn:nbn:se:hig:diva-42243OAI: oai:DiVA.org:hig-42243DiVA, id: diva2:1769640
Subject / course
English
Educational program
no programme (freestanding course)
Supervisors
Examiners
Available from: 2023-06-19 Created: 2023-06-18 Last updated: 2023-06-19Bibliographically approved

Open Access in DiVA

fulltext(900 kB)179 downloads
File information
File name FULLTEXT01.pdfFile size 900 kBChecksum SHA-512
fd6ed0e5798e6e9bbea4af763e9966a67bb93a298500475e023e9c55f3f37d6f3f82cad9c18d41269408ac7cc0c8f8a82c59bd825ab422f21dd078a9576efd0b
Type fulltextMimetype application/pdf

By organisation
Department of Humanities
Specific Languages

Search outside of DiVA

GoogleGoogle Scholar
Total: 179 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 487 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf