A corpus-based analysis of patterned structures and semantic types used by learners of English

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Uzuner B., Özbay A. Ş., Yükselir C.

PORTA LINGUARUM, sa.45, ss.59-77, 2026 (AHCI, SSCI, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2026
  • Dergi Adı: PORTA LINGUARUM
  • Derginin Tarandığı İndeksler: Scopus, Arts and Humanities Citation Index (AHCI), Social Sciences Citation Index (SSCI), MLA - Modern Language Association Database, DIALNET
  • Sayfa Sayıları: ss.59-77
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

ABstrAct: The use of patterned structures by language learners of different native lan-guage backgrounds needs to be investigated to better understand the degree of formulaic-ity. This mixed-method study investigates how EFL learners with Turkish, Japanese, and Norwegian L1s use verb-noun patterns in argumentation compared to native speakers of English. Data was obtained from the International Corpus of Learner English (version 3), which include essays written by university students with diverse L1 backgrounds and the LOCNESS, a native corpus. The research was conducted between Fall 2022 and Spring 2023 as part of a Master’s thesis. Using Contrastive Interlanguage Analysis (CIA) and Corpus Pat-tern Analysis (CPA), the study reveals that accept and allow are statistically significant for further qualitative examination. The qualitative findings indicate inconsistent usage patterns for Turkish and Norwegian learners, while Turkish and Japanese learners showed more con-sistency. These results highlight the importance of raising learners’ awareness of verb-noun patterns. One pedagogical implication is that teaching materials could integrate verb-noun collocations to enhance formulaic competence in academic writing.Keywords: Corpus Analysis, learner corpora, verb-noun patterns, CIA, CPA