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Journals / Journal of Language Research / 2026 / Cilt: 10 Sayı: 2

A Systematic Synthesis of Research on Popular Corpus Tools in English Language Learning and Teaching

İngilizce Dil Öğrenme ve Öğretiminde Popüler Derlem Araçları Üzerine Araştırmaların Sistematik Sentezi

İbrahim Halil Topal(GAZI UNIVERSITY)0000-0003-4220-3706
Pages
222–243
Publication Date
2026-07-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It also proposes that when systematically implemented, corpus tools may serve as powerful resources for language learning and teaching.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:It is well-established that second/foreign language learning requires exposure to meaningful input.
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Key Findings & Data:Following the PRISMA guidelines for systematic reviews, this study included five research papers from the Web of Science and Scopus databases until 2024.
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Conclusion & Impact:It also proposes that when systematically implemented, corpus tools may serve as powerful resources for language learning and teaching.
🔬Design:Review & Systematic Survey
📍Scope:2024 Verileri
⚙️Variables:derlem · İngilizce dil öğrenimi · veri tabanlı öğrenme

Abstract

It is well-established that second/foreign language learning requires exposure to meaningful input. Thanks to advancing technologies, one way to achieve this in language teaching contexts is via online corpus tools. Given the potential pedagogical gains these tools offer for language skills (e.g., vocabulary, grammar, pronunciation, and writing), this study aims to synthesise the findings of research on five popular corpus tools – Sketch Engine, SkELL, PlayPhraseMe, Fraze.it, and CorpusMate. Following the PRISMA guidelines for systematic reviews, this study included five research papers from the Web of Science and Scopus databases until 2024. Applying qualitative and quantitative content analyses, the study found that corpus consultation promotes language skills and learner autonomy, supports contextually appropriate language use, and improves sensitivity to authentic language structures. Despite the promising outcomes, the scant number of studies analysed with some methodological issues and contextual constraints undermines the generalisability of the results. The study underscores the urgent need for more longitudinal, comparative, and large-scale research on using these corpus tools to harness them fully in language education. It also proposes that when systematically implemented, corpus tools may serve as powerful resources for language learning and teaching.

Özet

İkinci/yabancı dil öğreniminin anlamlı girdilere maruz kalmayı gerektirdiği iyi bilinmektedir. Gelişen teknolojiler sayesinde, dil öğretimi bağlamında bunu başarmanın bir yolu çevrimiçi metin derleme araçlarıdır. Bu araçların dil becerileri (ör. kelime bilgisi, gramer, telaffuz ve yazma) için sunduğu potansiyel pedagojik kazanımlar göz önüne alındığında, bu çalışma beş popüler metin derleme aracı olan Sketch Engine, SkELL, PlayPhraseMe, Fraze.it ve CorpusMate ile ilgili araştırma bulgularını sentezlemeyi amaçlamaktadır. Sistematik incelemeler için PRISMA kılavuzlarını takip eden bu çalışma, 2024 yılına kadar Web of Science ve Scopus veritabanlarından beş araştırma makalesini içermektedir. Nitel ve nicel içerik analizleri uygulayan çalışma, derlem danışmanlığının dil becerilerini ve öğrenen özerkliğini teşvik ettiğini, bağlamsal olarak uygun dil kullanımını desteklediğini ve otantik dil yapılarına duyarlılığı artırdığını bulmuştur. Umut verici sonuçlara rağmen, analiz edilen çalışma sayısının azlığı, bazı metodolojik sorunlar ve bağlamsal kısıtlamalar, sonuçların genelleştirilebilirliğini zayıflatmaktadır. Çalışma, dil eğitiminde bu derlem araçlarını tam olarak kullanmak için daha uzun süreli, karşılaştırmalı ve büyük ölçekli araştırmalara acil ihtiyaç olduğunu vurgulamaktadır. Ayrıca, sistematik olarak uygulandığında, derlem araçlarının dil öğrenimi ve öğretimi için güçlü kaynaklar olarak hizmet edebileceğini öne sürmektedir.

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Cite This Article

Topal, İ. H. (2026). A Systematic Synthesis of Research on Popular Corpus Tools in English Language Learning and Teaching. Journal of Language Research, Cilt: 10 Sayı: 2, 222–243. https://doi.org/10.51726/jlr.1793357

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References (72)

  1. Aksnes, D. W., Langfeldt, L., & Wouters, P. (2019). Citations, citation indicators, and research quality: An overview of basic concepts and theories. Sage Open, 9(1), 2158244019829575. https://doi.org/10.1177/2158244019829575
  2. Al-Hamzi, A. M. S., Gougui, A., Amalia, Y. S., & Suhardijanto, T. (2020). Corpus linguistics and corpus-based research and its implication in applied linguistics: A systematic review. Parole: Journal of Linguistics and Education, 10(2), 176-181. https://doi.org/10.14710/parole.v10i2.176-181
  3. Biber, D., Conrad, S., & Reppen, R. (1998). Corpus linguistics: Investigating language structure and use. Cambridge University Press.
  4. Biel, Ł. (2017). Enhancing the communicative dimension of legal translation: comparable corpora in the research-informed classroom. The Interpreter and Translator Trainer, 11(4), 316-336. https://doi.org/10.1080/1750399X.2017.1359761
  5. Boulton, A. (2010). Data‐driven learning: Taking the computer out of the equation. Language Learning, 60(3), 534-572. https://doi.org/10.1111/j.1467-9922.2010.00566.x
  6. Boulton, A. (2012). Corpus consultation for ESP: A review of empirical research. In A. Boulton, S. Carter-Thomas, & E. Rowley-Jolivet (Eds.), Corpus-informed research and learning in ESP: Issues and applications (pp. 261–291). John Benjamins.
  7. Boulton, A., & Cobb, T. (2017). Corpus use in language learning: A meta‐analysis. Language Learning, 67(2), 348-393. https://doi.org/10.1111/lang.12224
  8. Bowker, L., & Pearson, J. (2002). Working with specialized language: A practical guide to using corpora. Routledge.
  9. Çakır, İ., & Özer, M. (2020). Fostering intuitive competence in L2 for a better performance in EAP writing through fraze. it in a Turkish context. Education and Information Technologies, 25(6), 5405-5426. https://doi.org/10.1007/s10639-020-10225-0
  10. Cera, R., & Sinclair, M. (2024). What kind of intuition for what kind of education: A scoping review. Encyclopaideia, 28(70), 53-70. https://doi.org/10.6092/issn.1825-8670/19650
  11. Chambers, A. (2019). Towards the corpus revolution? Bridging the research–practice gap. Language Teaching, 52(4), 460-475. https://doi.org/10.1017/S0261444819000089
  12. Chen, M., & Flowerdew, J. (2018). A critical review of research and practice in data-driven learning (DDL) in the academic writing classroom. International Journal of Corpus Linguistics, 23(3), 335-369. https://doi.org/10.1075/ijcl.16130.che
  13. Crosthwaite, P., & Baisa, V. (2024). A user-friendly corpus tool for disciplinary data-driven learning: Introducing CorpusMate. International Journal of Corpus Linguistics, 29(4), 595-610. https://doi.org/10.1075/ijcl.23056.cro
  14. Crosthwaite, P., Ningrum, S., & Schweinberger, M. (2023). Research trends in corpus linguistics: A bibliometric analysis of two decades of Scopus-indexed corpus linguistics research in arts and humanities. International Journal of Corpus Linguistics, 28(3), 344-377. https://doi.org/10.1075/ijcl.21072.cro
  15. Emir, G., & Saral, N. Ç. (2025). Exploring emerging issues in corpus applications in ELT: A systematic review. Participatory Educational Research, 12(2), 1-19. https://doi.org/10.17275/per.25.16.12.2
  16. Friginal, E., Dye, P., & Nolen, M. (2020). Corpus-based approaches in language teaching: Outcomes, observations, and teacher perspectives. Bogazici University Journal of Education, 37(1), 43-68. https://izlik.org/JA78MB44XR
  17. Göpferich, S., Alves, F., & Mees, I. M. (Eds.). (2009). New approaches in translation process research (Vol. 39). Samfundslitteratur.
  18. Gui, X., Deng, L., & Jiang, G. (2022). The use of corpus in English writing: Scholarly development and implications. Journal of Education and Educational Research, 1(1), 64-71. https://doi.org/10.54097/jeer.v1i1.2476
  19. He, M., & Xie, Q. (2024). Empowering autonomy in language learning: the sustainable impact of data-driven learning on noun collocation acquisition. Humanities and Social Sciences Communications, 11(1), 1-14. https://doi.org/10.1057/s41599-024-04038-6
  20. Hirsch, J.E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102, 16569–16572. https://doi.org/10.1073/pnas.0507655102
  21. Huang, S., & Ma, Q. (2025). A systematic review of data-driven learning research on language learning and teaching for pre-tertiary learners: Balancing qualitative and quantitative research. Learning and Individual Differences, 122, 102752. https://doi.org/10.1016/j.lindif.2025.102752
  22. Huang, Z. (2014). The effects of paper-based DDL on the acquisition of lexico-grammatical patterns in L2 writing. ReCALL, 26(2), 163-183. https://doi.org/10.1017/S0958344014000020
  23. Hunston, S. (2002). Corpora in applied linguistics. Cambridge University Press.
  24. Hyland, K. (2009). Academic discourse. Continuum.
  25. Idrizi, E. (2024). Computer-assisted DDL vs. Mobile-assisted DDL: Exploring EFL learners’ preferences and experiences with two corpus interfaces. ANGLISTICUM. Journal of the Association-Institute for English Language and American Studies, 13(3), 11-24. https://doi.org/10.58885/ijllis.v13i3.11.ei
  26. Jakubíček, M., Kilgarriff, A., Kovář, V., Rychlý, P., & Suchomel, V. (2014). Finding terms in corpora for many languages with the sketch engine. In S. Wintner, M. Tadić & B. Babych (Eds.), Proceedings of the demonstrations at the 14th conference of the European chapter of the Association for Computational Linguistics (pp. 53–56). Association for Computational Linguistics. https://doi.org/10.3115/v1/E14-2014
  27. Jianwen, L., & Hao, Y. (2025). enhancing translation students’ digital literacy: Using a web-based parallel corpus as an example. In S.K.K. Ng, T.S. Bai, N.P.K. Lo, A.W.B. Tso, & W.W.L. Chan (Eds.), Transcending Boundaries in the digital age (pp. 83-99). Springer Nature Singapore.
  28. Johns, T. (1990). From printout to handout: Grammar and vocabulary teaching in the context of data-driven learning. CALL Austria, 10, 14–34. https://corpus.bfsu.edu.cn/Tim_Johns_From_printout_to_handout.pdf
  29. Kilgarriff, A., Marcowitz, F., Smith, S., & Thomas, J. (2015). Corpora and language learning with the Sketch Engine and SKELL. Revue française de linguistique appliquée, 1, 61-80. https://doi.org/10.3917/rfla.201.0061
  30. Kolaski, K., Romeiser Logan, L., & Ioannidis, J. P. (2023). Guidance to best tools and practices for systematic reviews. Journal of Pediatric Rehabilitation Medicine, 16(2), 241-273. https://doi.org/10.3233/PRM-230019
  31. Kontsioti, V., & Karasimos, A. (2025). Teaching collocations to teenagers through a fantasy-adventure movies/series subtitle corpus: A soft DDL approach. Research Papers in Language Teaching and Learning, 15(1), 117-134. https://rpltl.eap.gr/images/2025/RPLTL15.pdf
  32. Kunilovskaya, M., & Koviazina, M. (2017). Sketch engine: A toolbox for linguistic discovery. Jazykovedny Casopis, 68(3), 503-507. https://doi.org/10.2478/jazcas-2018-0006
  33. Kwiek, M. (2021). What large-scale publication and citation data tell us about international research collaboration in Europe: Changing national patterns in global contexts. Studies in Higher Education, 46(12), 2629-2649. https://doi.org/10.1080/03075079.2020.1749254
  34. Lewandowska, A. (2014). Using corpus-based classroom activities to enhance learner autonomy. Konińskie Studia Językowe, 2(3), 237-255. https://www.ksj.konin.edu.pl/wp-content/uploads/2015/05/KSJ-2_3_237-255.pdf
  35. Li, D., Noordin, N., Ismail, L., & Cao, D. (2025). A systematic review of corpus-based instruction in EFL classroom. Heliyon, 11(2), e42016. https://doi.org/10.1016/j.heliyon.2025.e42016
  36. Li, M., Zhang, X., & Reynolds, B. L. (2023). Exploring lexical bundles in low proficiency level L2 learners’ English writing: an ETS corpus study. Applied Linguistics Review, 14(4), 847-873. https://doi.org/10.1515/applirev-2020-0129
  37. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage
  38. Lusta, A., Demirel, Ö., & Mohammadzadeh, B. (2023). Language corpus and data driven learning (DDL) in language classrooms: A systematic review. Heliyon, 9(12), e22731. https://doi.org/10.1016/j.heliyon.2023.e22731
  39. Ma, Q., & Mei, F. (2021). Review of corpus tools for vocabulary teaching and learning. Journal of China Computer-Assisted Language Learning, 1(1), 177-190. https://doi.org/10.1515/jccall-2021-2008
  40. McEnery, T., & Hardie, A. (2012). Corpus linguistics: Method, theory and practice. Cambridge University Press.
  41. McEnery, T., & Xiao, R. (2011). What corpora can offer in language teaching and learning. In E. Hinkel (Ed.), Handbook of research in second language teaching and learning (pp. 364-380). Routledge.
  42. Moon, S., & Oh, S. Y. (2018). Unlearning overgenerated be through data-driven learning in the secondary EFL classroom. ReCALL, 30(1), 48-67. https://doi.org/10.1017/S0958344017000246
  43. Munn, Z., Peters, M. D., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Medical Research Methodology, 18, 1-7. https://doi.org/10.1186/s12874-018-0611-x
  44. Nguyen, T. V., Ho-Le, T. P., & Le, U. V. (2017). International collaboration in scientific research in Vietnam: an analysis of patterns and impact. Scientometrics, 110(2), 1035-1051. https://doi.org/10.1007/s11192-016-2201-1
  45. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D.,.& Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. British Medical Journal, 372 (71). https://doi.org/10.1136/bmj.n71
  46. Park, H., & Nam, D. (2017). Corpus linguistics research trends from 1997 to 2016: A co-citation analysis. Linguistic Research, 34(3)., 427-457. https://doi.org/10.17250/khisli.34.3.201712.008
  47. Patino, C. M., & Ferreira, J. C. (2018). Internal and external validity: can you apply research study results to your patients?. Jornal Brasileiro de Pneumologia, 44(03), 183-183. https://doi.org/10.1590/S1806-37562018000000164
  48. Pearce, M. (2008). Investigating the collocational behaviour of MAN and WOMAN in the BNC using Sketch Engine. Corpora, 3(1), 1-29. https://doi.org/10.3366/E174950320800004X
  49. Pérez-Paredes, P. (2022). A systematic review of the uses and spread of corpora and data-driven learning in CALL research during 2011–2015. Computer Assisted Language Learning, 35(1-2), 36-61. https://doi.org/10.1080/09588221.2019.1667832
  50. Petticrew, M., & Roberts, H. (2006). Systematic reviews in the social sciences: A practical guide. Blackwell. Reppen, R. (2011). Using corpora in the language classroom. In B. Tomlinson (Ed.), Materials development in language teaching (pp. 35-50). Cambridge University Press.
  51. Römer, U. (2009). Corpus research and practice: What help do teachers need and what can we offer? In K. Aijmer (Ed.), Corpora and language teaching [Studies in Corpus Linguistics 33]. (pp. 83–98). John Benjamins.
  52. Römer, U. (2011). Corpus research applications in second language teaching. Annual Review of Applied Linguistics, 31, 205-225. https://doi.org/10.1017/S0267190511000055
  53. Rosenman, R., Tennekoon, V., & Hill, L. G. (2011). Measuring bias in self-reported data. International Journal of Behavioural and Healthcare Research, 2(4), 320-332. https://doi.org/10.1504/IJBHR.2011.043414
  54. Salimi, E. A., & Marami Hajikandi, A. (2025). Publishers and authorial voice in applied linguistics research articles: A corpus-based study. Journal of Scholarly Publishing, 56(1), 1-33. https://doi.org/10.3138/jsp-2023-0002
  55. Scelles, N., & Teixeira da Silva, J. A. (2025). Making the impact of publications within a field comparable by improving the field-weighted citation impact (FWCI): the case of sport management. Scientometrics, 130(3), 1571-1586. https://doi.org/10.1007/s11192-025-05268-4
  56. Selvi, A. F. (2020). Qualitative content analysis. In J. McKinley & H. Rose (Eds.), The Routledge handbook of research methods in applied linguistics (pp. 440–452). Routledge.
  57. Sinclair, J. (1991). Corpus concordance collocation. Oxford University Press.
  58. Sozbilir, M., Kutu, H., & Yasar, M. D. (2012). Science education research in Turkey: A content analysis of selected features of published papers. In D. Jorde & J. Dillon (Eds.), Science education research and practice in Europe: Retrospective and prospective (pp. 341-374). Sense Publishers.
  59. Thomas, G. (2011). The case: Generalisation, theory and phronesis in case study. Oxford Review of Education, 37(1), 21-35. https://doi.org/10.1080/03054985.2010.521622
  60. Tong, J., Che Abdul Rahman, A. N., & Hamat, A. (2025). A systematic literature review on word selection criteria in corpus-based wordlists development. Cogent Arts & Humanities, 12(1), 2432131. https://doi.org/10.1080/23311983.2024.2432131
  61. Topal, I. H. (2025a). A critical review of SkELL (Sketch Engine for language learning)–V1. 11.8. Technology in Language Teaching & Learning, 7(1), 102690. https://doi.org/10.29140/tltl.v7n1.102690
  62. Topal, I. H. (2025b). PlayPhrase. Me: A multimedia corpus for foreign language education. Technology in Language Teaching & Learning, 7(1), 102405. https://doi.org/10.29140/tltl.v7n1.102405
  63. Topal, I. H. (2025c). Review of Fraze. it: a multilingual sentence concordancer. Journal of China Computer-Assisted Language Learning. https://doi.org/10.1515/jccall-2025-0008
  64. Troy, H. R. (2022). Learning vocabulary with SkELL: Developing a methodology with university students in Japan using action research. Bulletin of Nagoya University of Foreign Studies, 10, 163–183. http://id.ndl.go.jp/bib/032107918
  65. Veiga Norlander, C. (2022). L2 vocabulary acquisition: An investigation into the effectiveness of playphrase.me as a tool for learning English vocabulary for Swedish level 9 students (Unpublished Master’s thesis). Mid Sweden University, Sweden. https://miun.diva-portal.org/smash/get/diva2:1708176/FULLTEXT01.pdf
  66. Wang, D., & Liang, L. (2024). Mapping academic collaboration patterns of scholarly publications in fifteen linguistics journals from 2014 to 2023 via social network analysis. Journal of Scholarly Publishing, 55(4), 524-558. https://doi.org/10.3138/jsp-2023-0094
  67. Yağız, O., Aydın, B., & Akdemir, A. S. (2016). ELT research in Turkey: A content analysis of selected features of published articles. Journal of Language and Linguistic Studies, 12(2), 117-134. https://izlik.org/JA37EE54WA
  68. Yang, S. (2025). Examining the effectiveness of Sketch Engine for verb-noun collocation learning among Chinese low-proficiency learners. Arab World English Journal (AWEJ), 16(2), 233-261. https://dx.doi.org/10.24093/awej/vol16no2.14
  69. Zakaria, A., & Aryadoust, V. (2024). A scientometric analysis of applied linguistics research (1970–2022): Methodology and future directions. Applied Linguistics Review, 15(4), 1595-1619. https://doi.org/10.1515/applirev-2022-0210
  70. Zhao, Y. (1998). Design for adoption: The development of an integrated web-based education environment. Journal of Research on Computing in Education, 30(3), 307-328. https://doi.org/10.1080/08886504.1998.10782229
  71. Zhu, J., & Liu, W. (2020). A tale of two databases: The use of Web of Science and Scopus in academic papers. Scientometrics, 123(1), 321-335. https://doi.org/10.1007/s11192-020-03387-8
  72. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D.,.& Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. British Medical Journal, 372 (71). https://doi.org/10.1136/bmj.n71