All Stories

  1. Combining AI and corpus technology in language teaching: Professional development and knowledge co-construction using the CoI framework
  2. Methodological considerations in conducting bibliometric/scientometric reviews
  3. Prompt Sensitivity in AI Writing: A Methodological Caution for Corpus‐Based Analysis of AI‐Generated Language
  4. Is DDL dead yet? Not so fast! Revisiting earlier claims on the state of corpus linguistics, DDL, generative AI, and Language for Specific Purposes
  5. “Why Isn’t Anything Showing Up?”: Interactional Practices and the Development of Corpus Literacy in Data-Driven Writing
  6. Constructing China’s national image through political discourse: A corpus-based diachronic analysis of government work reports (2001–2025)
  7. Artificial intelligence
  8. ‘Cutting Out the Middleman’
  9. Advancing English Language Teaching
  10. When DDL Goes Wrong: The importance of constructive alignment for learners and teachers in DDL contexts
  11. Conducting sociolinguistic interviews via generative AI: A methods tutorial
  12. Students’ self-determination in using machine translation and generative AI tools for English for academic purposes
  13. Corpora and instructed second language acquisition
  14. Generative AI and L2 Written Feedback Studies: A Scoping Review
  15. TPACK for corpus technology: TESOL student teachers’ growth and self-efficacy in independent language learning and teaching
  16. Research methods in L2 writing: Interdisciplinary approaches, cutting-edge methods, and practical applications
  17. CorpusChat : integrating corpus linguistics and generative AI for academic writing development
  18. Exploring the affordances of generative AI large language models for stance and engagement in academic writing
  19. AI and language assessment
  20. More human than human? Differences in lexis and collocation within academic essays produced by ChatGPT-3.5 and human L2 writers
  21. Exploring ChatGPT literacy in language education: A global perspective and comprehensive approach
  22. The grass is not always greener: Teacher vs. GPT-assisted written corrective feedback
  23. Prompting for pedagogy? Australian F-10 teachers’ generative AI prompting use cases
  24. Stance-taking through APPRAISAL in L1 and L2 English argumentative essays: insights from Vietnamese L2 English
  25. A user-friendly corpus tool for disciplinary data-driven learning
  26. A comparative analysis of multiword units in the reading and listening input of English textbooks
  27. Editorial
  28. Bridging the Research-Practice Divide for Data-Driven Learning
  29. Corpora for Language Learning
  30. Walking the Walk? (Mis)alignment of EFL Teachers' Self‐Reported Corpus Literacy Skills and Their Competence in Planning and Implementing Corpus‐Based Language Pedagogy
  31. Generative AI and the end of corpus-assisted data-driven learning? Not so fast!
  32. The use of metadiscourse by secondary-level Chinese learners of English in examination scripts: insights from a corpus-based study
  33. Research trends in L2 written corrective feedback: A bibliometric analysis of three decades of Scopus-indexed research on L2 WCF
  34. Research trends in corpus linguistics
  35. Developmental corpus insights into the writing life of a primary school child in Australia
  36. Multi-Dimensional Exploratory Factor Analysis of TED talks
  37. “The findings might not be generalizable”: Investigating negation in the limitations sections of PhD theses across disciplines
  38. DDL for Younger Learners
  39. Data-driven learning with younger learners: exploring corpus-assisted development of the passive voice for science writing with female secondary school students
  40. Constructing COVID-19: A corpus-informed analysis of prime ministerial crisis response communication by gender
  41. “Establish a niche” vianegation: A corpus-based study ofnegationwithin the Move 2 sections of PhD thesis introductions
  42. Exploring language teachers’ lesson planning for corpus-based language teaching: a focus on developing TPACK for corpora and DDL
  43. Training disciplinary genre awareness through blended learning: An exploration into EAP students’ perceptions of online annotation of genres across disciplines
  44. Voices from the periphery: Perceptions of Indonesian primary vs secondary pre-service teacher trainees about corpora and data-driven learning in the L2 English classroom
  45. Evaluative stance in Vietnamese and English writing by the same authors: A corpus-informed appraisal study
  46. Less is more? The impact of written corrective feedback on corpus-assisted L2 error resolution
  47. Corpus linguistics and education in Australia
  48. Taking DDL online
  49. Corpus Linguistics and Education in Australia
  50. Gender-preferential language use in L1 and L2 argumentative essays? Evidence against lists of ‘gendered’ language features
  51. Referring in a second language
  52. Afterword
  53. Referential movement in L2 vs. Heritage Korean
  54. Referring in a Second Language
  55. Definite article bridging relations in L2: A learner corpus study
  56. Data-Driven Learning for the Next Generation
  57. Afterword
  58. Data-driven learning and younger learners
  59. “It helps me get ideas on how to use my words”
  60. Investigating written corrective feedback: (Mis)alignment of teachers’ beliefs and practice
  61. Disciplinary differences in the use of evaluative that: Expression of stance via that-clauses in business and medicine
  62. Learning the language of Dentistry
  63. Characterising postgraduate students’ corpus query and usage patterns for disciplinary data-driven learning
  64. Validating an L2 Academic Group Oral Assessment: Insights From a Spoken Learner Corpus
  65. ‘Fear and Disgust’ – A Corpus Study of Sentiment towards Sporting Events as Expressed Multimodally on 4chan’s/sp/board
  66. Christoph Schubert and Christina Sanchez-Stockhammer (eds.) Variational text linguistics: Revisiting register in English
  67. Exploring stance in the manifestos of 3 candidates for the Hong Kong Chief Executive election 2017: Combining CDA and corpus-like insights
  68. APPRAISAL resources in L1 and L2 argumentative essays: A contrastive learner corpus-informed study of evaluative stance
  69. Grammatical complexity in academic English Douglas Biber Bethany Gray 2016. Cambridge: Cambridge University Press, I + 276
  70. Teaching and Learning Styles in South-East Asian Cultures
  71. DEFINITE DISCOURSE-NEW REFERENCE IN L1 AND L2
  72. Does EAP affect written L2 academic stance? A longitudinal learner corpus study
  73. Retesting the limits of data-driven learning: feedback and error correction
  74. Exploring rater conceptions of academic stance and engagement during group tutorial discussion assessment
  75. Writing with attitude: Stance expression in learner and professional dentistry research reports
  76. Does EAP writing instruction reduce L2 errors? Evidence from a longitudinal corpus of L2 EAP essays and reports
  77. Managing referential movement in Asian L2 writing: Implications for pedagogy
  78. Review. Sylviane Granger, Gaëtanelle Gilquin and Fanny Meunier (eds.). The Cambridge handbook of learner corpus research
  79. Cross-linguistic patterns in the acquisition of quantifiers
  80. Validating an Academic Group Tutorial Discussion Speaking Test
  81. L2 English article use by L1 speakers of article-less languages
  82. A longitudinal multidimensional analysis of EAP writing: Determining EAP course effectiveness
  83. ‘Almost people’: A Learner Corpus Account of L2 Use and Misuse of Non-numerical Quantification
  84. Review of Cortes & Csomay ((2015)): Corpus-based Research in Applied Linguistics: Studies in Honor of Doug Biber
  85. Difficulties with computational coreference tracking: How to achieve ‘coherence in mind’ without a mind?
  86. Assessing in-class participation for EFL: considerations of effectiveness and fairness for different learning styles
  87. Definite Discourse-New Reference in L1 and L2
  88. An error analysis of L2 English discourse reference through learner corpora analysis