Abstract
Over the past decade, learner corpora have gained recognition as valuable data sources in Second Language Acquisition (SLA) research. This development can be attributed to significant progress in Learner Corpus Research (LCR). However, there is still substantial work to be done. This article highlights key issues essential for sustaining the relevance of learner corpora in SLA. More particularly, I focus on the need for more diverse types of learner corpora, stress the importance of detailed metadata, and advocate for multifactorial study designs. I then revisit ongoing debates regarding the role of the native speaker in LCR and propose a practical solution to address this thorny issue. Finally, I also readdress the need for improvement in the quantitative methods and statistics, arguing that the importance of robust quantitative analysis cannot be overstated. In conclusion, I envision an ambitious learner corpus compilation project that adheres to the FAIR principles, with the goal of further elevating study quality in LCR.
Funding source: Fonds de la Recherche Scientifique – FNRS
Acknowledgments
I would like to express my sincere gratitude to the two reviewers for their insightful and constructive comments on this manuscript. Their feedback has been invaluable in guiding me to articulate my viewpoints more clearly and effectively. Special thanks to Doug Biber for challenging me with thought-provoking questions and comments!
References
Barker, Fiona, Angeliki Salamoura & Nick Saville. 2015. Learner corpora and language testing. In Sylviane Granger, Gaëtanelle Gilquin & Fanny Meunier (eds.), The Cambridge handbook of learner corpus research, 511–534. Cambridge: Cambridge University Press.10.1017/CBO9781139649414.023Suche in Google Scholar
Bell, Philippa, Laura Collins & Emma Marsden. 2021. Building an oral and written learner corpus of school programme: Methodological issues. In Bert Le Bruyn & Magali Paquot (eds.), Learner corpus research meets second language acquisition, 214–242. Cambridge: Cambridge University Press.10.1017/9781108674577.011Suche in Google Scholar
Bell, Philippa & Caroline Payant. 2021. Designing learner corpora: Collection, transcription, and annotation. In Nicole Tracy-Ventura & Magali Paquot (eds.), The Routledge handbook of second language acquisition and corpora, 53–67. New York & Oxon: Routledge.10.4324/9781351137904-7Suche in Google Scholar
Bley-Vroman, Robert. 1983. The comparative fallacy in interlanguage studies: The case of systematicity. Language Learning 33(1). 1–17. https://doi.org/10.1111/j.1467-1770.1983.tb00983.x.Suche in Google Scholar
Callies, Marcus. 2023. Current perspectives on learner corpus research. Arbeiten aus Anglistik und Amerikanistik 48(1). 37–51. https://doi.org/10.24053/AAA-2023-0002.Suche in Google Scholar
Crossley, Scott, Emma Marsden, Nick Ellis, Judit Kormos, Kara Morgan-Short & Guillaume Thierry. 2020. Introduction of methods showcase articles in Language Learning. Language Learning 70(1). 5–10. https://doi.org/10.1111/lang.12389.Suche in Google Scholar
Crossley, Scott, Yu Tian, Perpetual Baffour, Alex Franklin, Youngmeen Kim, Wesley Morris, Meg Benner, Aigner Picou & Boser Ulrich. 2023. The English Language Learner insight, proficiency and Skills Evaluation (ELLIPSE) corpus. International Journal of Learner Corpus Research 9(2). 248–269. https://doi.org/10.1075/ijlcr.22026.cro.Suche in Google Scholar
Deshors, Sandra & Stefan Th. Gries. 2021. Comparing learner corpora. In Nicole Tracy-Ventura & Magali Paquot (eds.), The Routledge handbook of second language acquisition and corpora, 115–118. New York & Oxon: Routledge.10.4324/9781351137904-10Suche in Google Scholar
Dirdal, Hildegunn, Ingrid Kristine Hasund, Eli-Marie Danbolt Drange, Eva Thue Vold & Elin Maria Berg. 2022. Design and construction of the Tracking Written Learner Language (TRAWL) corpus: A longitudinal and multilingual young learner corpus. Nordic Journal of Language Teaching and Learning 10(2). 115–135. https://doi.org/10.46364/njltl.v10i2.1005.Suche in Google Scholar
Dubois, Tanguy, Magali Paquot & Benedikt Szmrecsanyi. 2023. Alternation phenomena and language proficiency: The genitive alternation in the spoken language of EFL learners. Corpus Linguistics and Linguistic Theory 19(3). 427–450. https://doi.org/10.1515/cllt-2021-0078.Suche in Google Scholar
Durrant, Philip. 2023. Corpus linguistics for writing development. New York: Routledge.10.4324/9781003152682Suche in Google Scholar
Durrant, Philip, Mark Brenchley & Lee, McCallum. 2021. Understanding proficiency and development in writing: Quantitative corpus linguistic approaches. Cambridge: Cambridge University Press.Suche in Google Scholar
Fernández, Julieta & Tracy S. Davis. 2021. Overview of available learner corpora. In Nicole Tracy-Ventura & Magali Paquot (eds.), The Routledge handbook of second language acquisition and corpora, 145–157. New York & Oxon: Routledge.10.4324/9781351137904-13Suche in Google Scholar
Gablasova, Dana, Vaclav Brezina & Tony McEnery. 2017. Exploring learner language through corpora: Comparing and interpreting corpus frequency information. Language Learning 67. 130–154. https://doi.org/10.1111/lang.12226.Suche in Google Scholar
Gablasova, Dana, Vaclav Brezina & Tony McEnery. 2019. The trinity lancaster corpus: Development, description and application. International Journal of Learner Corpus Research 5(2). 126–158. https://doi.org/10.1075/ijlcr.19001.gab.Suche in Google Scholar
Gass, Susan, Shawn Loewen & Luke Plonsky. 2021. Coming of age: The past, present, and future of quantitative SLA research. Language Teaching 54(2). 245–258. https://doi.org/10.1017/S0261444819000430.Suche in Google Scholar
Gilquin, Gaëtanelle. 2000. The Integrated contrastive model. Spicing up your data. Languages in Contrast 3(1). 95–123. https://doi.org/10.1075/lic.3.1.05gil.Suche in Google Scholar
Gilquin, Gaëtanelle. 2015. From design to collection of learner corpora. In Sylviane Granger, Gaëtanelle Gilquin & Fanny Meunier (eds.), The Cambridge handbook of learner corpus research, 10–34. Cambridge: Cambridge University Press.10.1017/CBO9781139649414.002Suche in Google Scholar
Gilquin, Gaëtanelle. 2020. Learner corpora. In Magali Paquot & Stefan Th. Gries (eds.), A practical handbook of corpus linguistics, 283–303. Cham: Springer.10.1007/978-3-030-46216-1_13Suche in Google Scholar
Gilquin, Gaëtanelle. 2022. One norm to rule them all? Corpus-Derived norms in learner corpus research and foreign language teaching. Language Teaching 55(1). 87–99. https://doi.org/10.1017/S0261444821000094.Suche in Google Scholar
Gilquin, Gaëtanelle, Sylvie De Cock & Granger Sylviane. 2010. Louvain international database of spoken English interlanguage. Louvain-la-Neuve: Presses Universitaires de Louvain.Suche in Google Scholar
Godfroid, Aline & Sible Andringa. 2023. Uncovering sampling biases, advancing inclusivity, and rethinking theoretical accounts in second language acquisition: Introduction to the special issue SLA for all? Language Learning 73(4). 981–1002. https://doi.org/10.1111/lang.12620.Suche in Google Scholar
Granger, Sylviane. 1996. From CA to CIA and back: An integrated approach to computerized bilingual and learner corpora. In Karin Aijmer, Bent Altenberg & Mats Johansson (eds.), Languages in contrast. Text-based cross-linguistic studies, 37–51. Lund: Lund University Press.Suche in Google Scholar
Granger, Sylviane. 2002. A bird’s-eye view of learner corpus research. In Sylviane Granger, Joseph Hung & Stephanie Petch-Tyson (eds.), Computer learner corpora, second language acquisition and foreign language teaching, 3–33. Amsterdam & Philadelphia: Benjamins.10.1075/lllt.6.04graSuche in Google Scholar
Granger, Sylviane. 2015. Contrastive interlanguage analysis: A reappraisal. International Journal of Learner Corpus Research 1(1). 7–24. https://doi.org/10.1075/ijlcr.1.1.01gra.Suche in Google Scholar
Granger, Sylviane. 2021. Commentary: Have learner corpus research and second language acquisition finally met? In Bert Le Bruyn & Magali Paquot (eds.), Learner corpus research meets second language acquisition, 243–257. Cambridge: Cambridge University Press.10.1017/9781108674577.012Suche in Google Scholar
Granger, Sylviane, Maïté Dupont, Fanny Meunier, Hubert Naets & Magali Paquot. 2020. The international corpus of learner English (version 3). Louvain-la-Neuve: Presses universitaires de Louvain.Suche in Google Scholar
Granger, Sylviane, Dagneaux Estelle & Meunier Fanny. 2002. The international corpus of learner English. Version 1. Louvainla-Neuve: Presses universitaires de Louvain.Suche in Google Scholar
Granger, Sylviane, Gaëtanelle Gilquin & Fanny Meunier (ed.). 2015. The Cambridge handbook of learner corpus research. Cambridge: Cambridge University Press.10.1017/CBO9781139649414Suche in Google Scholar
Granger, Sylviane & Magali Paquot. 2017. Towards standardization of metadata for L2 corpora. In Invited talk at the CLARIN workshop on Interoperability of Second Language Resources and tools, 6-8 December 2017. Sweden: University of Gothenburg. https://sweclarin.se/sites/sweclarin.se/files/event_atachements/Granger_Paquot_Metadata_G%C3%B6teborg_final.pdf (accessed 23 January 2024).Suche in Google Scholar
Gries, Stefan Th. 2015. Statistical methods in learner corpus research. In Granger Sylviane, Gaëtanelle Gilquin & Fanny Meunier (eds.), The Cambridge handbook of learner corpus research, 159–181. Cambridge: Cambridge University Press.10.1017/CBO9781139649414.008Suche in Google Scholar
Gries, Stefan Th. 2018. On over- and underuse in learner corpus research and multifactoriality in corpus linguistics more generally. Journal of Second Language Studies 1(2). 276–308. https://doi.org/10.1075/jsls.00005.gri.Suche in Google Scholar
Gries, Stefan Th. & Alison S. Adelman. 2014. Subject realization in Japanese conversation by native and non-native speakers: Exemplifying a new paradigm for learner corpus research. In Jesús Romero-Trillo (ed.), Yearbook of corpus linguistics and pragmatics 2014: New empirical and theoretical paradigms, 35–54. Cham: Springer.10.1007/978-3-319-06007-1_3Suche in Google Scholar
Gries, Stefan Th. & Sandra Deshors. 2014. Using regressions to explore deviations between corpus data and a standard/target: Two suggestions. Corpora 9(1). 109–136. https://doi.org/10.3366/cor.2014.0053.Suche in Google Scholar
Gries, Stefan Th. & Sandra Deshors. 2021. Statistical analyses of learner corpus data. In Nicole Tracy-Ventura & Magali Paquot (eds.), The Routledge handbook of second language acquisition and corpora, 119–132. New York & Oxon: Routledge.10.4324/9781351137904-11Suche in Google Scholar
Gries, Stefan Th. & Magali Paquot. 2020. Writing up a corpus-linguistic paper. In Magali Paquot & Stefan Th. Gries (eds.), A practical handbook of corpus linguistics, 647–659. Cham: Springer.10.1007/978-3-030-46216-1_26Suche in Google Scholar
Gries, Stefan Th. & Stefanie Wulff. 2021. Examining individual variation in learner production data: A few programmatic pointers for corpus-based analyses using the example of adverbial clause ordering. Applied PsychoLinguistics 42(2). 279–299. https://doi.org/10.1017/S014271642000048X.Suche in Google Scholar
Housen, Alex. 2002. A corpus-based study of the L2-acquisition of the English verb system. In Sylviane Granger, Joseph Hung & Stephanie Petch-Tyson (eds.), Computer learner corpora, second language acquisition and foreign language teaching, 77–116. Amsterdam & Philadelphia: Benjamins.10.1075/lllt.6.08houSuche in Google Scholar
Jarvis, Scott. 2000. Methodological rigor in the study of transfer: Identifying L1 influence in the interlanguage lexicon. Language Learning 50(2). 245–309. https://doi.org/10.1111/0023-8333.00118.Suche in Google Scholar
Kerz, Elma & Daniel Wiechmann. 2021. Individual differences. In Nicole Tracy-Ventura & Magali Paquot (eds.), The Routledge handbook of second language acquisition and corpora, 394–406. New York & Oxon: Routledge.10.4324/9781351137904-35Suche in Google Scholar
Konig, Alexander, Jennifer-Carmen, Frey & Egon W. Stemle. 2021. Exploring reusability and reproducibility for a research infrastructure for L1 and L2 learner corpora. Information 12(5). 199. https://doi.org/10.3390/info12050199.Suche in Google Scholar
Larsson, Tove & Doug Biber. 2024. On the perils of linguistically opaque measures and methods: Toward increased transparency and linguistic interpretability. In Peter Crosthwaite (ed.), Corpora for language learning: Bridging the research-practice divide, 131–139. London: Taylor & Francis.10.4324/9781003413301-10Suche in Google Scholar
Larsson, Tove, Jesse Egbert & Doug Biber. 2022. On the status of statistical reporting versus linguistic description in corpus linguistics: A ten-year perspective. Corpora 17(1). 137–157. https://doi.org/10.3366/cor.2022.0238.Suche in Google Scholar
Larsson, Tove, Magali Paquot & Doug Biber. 2021. On the importance of register in learner writing: A multi-dimensional approach. In Elena Seoane & Doug Biber (eds.), Corpus based approaches to register variation, 235–258. Amsterdam and Philadelphia: John Benjamins.10.1075/scl.103.09larSuche in Google Scholar
Larsson, Tove, Magali Paquot & Luke, Plonsky. 2020. Inter-rater reliability in Learner Corpus Research: Insights from a collaborative study on adverb placement. International Journal of Learner Corpus Research 6(2). 237–251. https://doi.org/10.1075/ijlcr.20001.lar.Suche in Google Scholar
Lester, Nicholas. 2019. That’s hard: Relativizer use in spontaneous L2 speech. International Journal of Learner Corpus Research 5(1). 1–32. https://doi.org/10.1075/ijlcr.17013.les.Suche in Google Scholar
Lozano, Cristóbal & Amaya Mendikoetxea. 2013. Learner corpora and second language acquisition: The design and collection of CEDEL2. In Ana Díaz-Negrillo, Nicolas Ballier & Paul Thompson (eds.), Automatic treatment and analysis of learner corpus data, 65–100. Amsterdam & Philadelphia: John Benjamins.10.1075/scl.59.06lozSuche in Google Scholar
Marsden, Emma & Kara Morgan-Short. 2023. (Why) are open research practices the future for the study of language learning? Language Learning 73(S2). 344–387. https://doi.org/10.1111/lang.12568.Suche in Google Scholar
McEnery, Tony, Richard Xiao & Yukio Tono. 2006. Corpus-based language studies: An advanced resource book. London: Routledge.Suche in Google Scholar
Morgan-Short, Kara, Emma Marsden, Jeanne Heil, Bernard I. Issa II, Ronald P. Leow, Anna Mikhaylova, Sylwia Mikołajczak, Nina Moreno, Roumyana Slabakova & Pawel Szudarski. 2018. Multisite replication in second language acquisition research: Attention to form during listening and reading comprehension. Language Learning 68(2). 392–437. https://doi.org/10.1111/lang.12292.Suche in Google Scholar
Myles, Florence. 2005. Interlanguage corpora and second language acquisition research. Second Language Research 21(4). 373–391. https://doi.org/10.1191/0267658305sr252oa.Suche in Google Scholar
Myles, Florence. 2008. Investigating learner language development with electronic longitudinal corpora: Theoretical and methodological issues. In Lourdes Ortega & Heidi Byrnes (eds.), The longitudinal study of advanced L2 capacities, 58–72. New York & Oxon: Routledge.Suche in Google Scholar
Myles, Florence. 2015. Second language acquisition theory and learner corpus research. In Sylviane Granger, Gaëtanelle Gilquin & Fanny Meunier (eds.), The Cambridge handbook of learner corpus research, 309–332. Cambridge: Cambridge University Press.10.1017/CBO9781139649414.014Suche in Google Scholar
Myles, Florence. 2021. Commentary: An SLA perspective on learner corpus research. In Bert Le Bruyn & Magali Paquot (eds.), Learner corpus research meets second language acquisition, 258–273. Cambridge: Cambridge University Press.10.1017/9781108674577.013Suche in Google Scholar
Newman, John & Christopher Cox. 2020. Corpus annotation. In Magali Paquot & Stefan Th. Gries (eds.), A practical handbook of corpus linguistics. Cham: Springer.10.1007/978-3-030-46216-1_2Suche in Google Scholar
Ortega, Lourdes. 2009. Understanding second language acquisition. London & New York: Routledge.Suche in Google Scholar
Ortega, Lourdes & Heidi Byrnes. 2008. The longitudinal study of advanced L2 capacities. New York & Oxon: Routledge.10.4324/9780203871652Suche in Google Scholar
Paquot, Magali. 2010. Academic vocabulary in learner writing: From extraction to analysis. London & New York: Continuum.Suche in Google Scholar
Paquot, Magali. 2022. Corpora and second language acquisition. In Reka R. Jablonkai & Eniko Csomay (eds.), The Routledge handbook of corpora in English language teaching and learning, 26–40. Oxon and New York: Routledge.10.4324/9781003002901-4Suche in Google Scholar
Paquot, Magali, Egon Stemle Alexander König & Frey Jennifer-Carmen. In press. The core metadata Schema for learner corpora (version 2): Collaborative efforts to advance data discoverability, metadata quality and study comparability in L2 research. International Journal of Learner Corpus Research.Suche in Google Scholar
Paquot, Magali, Jason Grafmiller & Benedikt Szmrecsanyi. 2019. Particle placement alternation in EFL learner vs. L1 speech: Assessing the similarity of probabilistic grammars. In Andrea Abel, Aivars Glaznieks, Verena Lyding & Lionel Nicolas (eds.), Widening the scope of learner corpus research. Selected papers from the fourth learner corpus research conference. Louvain-la-Neuve: Presses Universitaires de Louvain.Suche in Google Scholar
Paquot, Magali, Tove, Larsson, Hilde Hasselgård, Signe O. Ebeling, Damien, De Meyere, Larry, Valentin, Natalia, Judit Laso, Isabel, Verdaguer & Sanne, van Vuuren. 2022a. The Varieties of English for Specific Purposes dAtabase (VESPA): Towards a multi-L1 and multi-register learner corpus of disciplinary writing. Research in Corpus Linguistics 10(2). 1–15. https://doi.org/10.32714/ricl.10.02.02.Suche in Google Scholar
Paquot, Magali, Tove, Larsson, Hilde Hasselgård, Signe O. Ebeling, Damien De Meyere, Larry Valentin, Natalia, Judit Laso, Isabel Verdaguer & Sanne van Vuuren. 2022b. Varieties of English for Specific Purposes dAtabase (VESPA) (first release). https://doi.org/10.14428/DVN/BIBGY9, Open Data @ UCLouvain, V1.Suche in Google Scholar
Paquot, Magali & Plonsky, Luke. 2017. Quantitative research methods and study quality in learner corpus research. International Journal of Learner Corpus Research 3(1). 61–94. https://doi.org/10.1075/ijlcr.3.1.03paq.Suche in Google Scholar
Picron, Gervaise. 2023. Développement de la compétence rédactionnelle à l’université: Analyse linguistique des stades évolutifs et proposition d’un modèle explicatif. UCLouvain, Belgium: Unpublished PhD dissertation. http://hdl.handle.net/2078.1/275144.Suche in Google Scholar
Römer, Üte. 2009. English in academia: Does nativeness matter? Anglistik: International Journal of English Studies 20(2). 89–100.Suche in Google Scholar
Rubio, Fernando, Elnaz Kia, Erin Schnur & Jane, Hacking, J. 2021. Multilingual corpus of second language speech (MuSSeL) [Learner Corpus]. The University of Utah. https://l2trec.utah.edu/learner-corpora/mussel/ (accessed 22 January 2024).Suche in Google Scholar
Shadrova, Anna, Pia Linscheid, Julia Lukassek, Anke Lüdeling & Sarah Schneider. 2021. A challenge for contrastive L1/L2 corpus studies : Large inter- and intra-individual variation across morphological, but not global syntactic categories in task-based corpus data of a homogeneous L1 German group. Frontiers in Psychology 12. https://doi.org/10.3389/fpsyg.2021.716485.Suche in Google Scholar
Skehan, Peter. 2009. Modelling second language performance: Integrating complexity, accuracy, fluency, and lexis. Applied Linguistics 30(4). 510–532. https://doi.org/10.1093/applin/amp047.Suche in Google Scholar
Skehan, Peter & Pauline Foster. 2008. Complexity, accuracy, fluency and lexis in task-based performance: A synthesis of the ealing research. In Alex Housen, Folkert Kuiken & Ineke Vedder (eds.), Dimensions of L2 performance and proficiency: Complexity, accuracy and fluency in SLA, 199–220. Amsterdam & Philadelphia: John Benjamins.10.1075/lllt.32.09fosSuche in Google Scholar
Sommer-Farias, Bruna, Aleksey Novikov, Adriana Picoral, Mariana Centanin-Bertho & Shelley Staples. 2022. A multilingual learner corpus for less commonly taught languages. International Journal of Learner Corpus Research 8(2). 261–282. https://doi.org/10.1075/ijlcr.21001.som.Suche in Google Scholar
Staples, Shelley & Bradley Dilger. 2018. Corpus and repository of writing [Learner corpus articulated with repository]. Available at: https://crow.corporaproject.org.Suche in Google Scholar
Stemle, Egon W., Adriane Boyd, Maarten Janssen, Therese Tiedemann, Nives Mikelić Preradović, Alexandr Rosen, Dan Rosén & Elena Volodina. 2019. Working together towards an ideal infrastructure for language learner corpora. In Andrea Abel, Aivars Glaznieks, Verena Lyding & Lionel Nicolas (eds.), Widening the scope of learner corpus research. Selected papers from the fourth learner corpus research conference, 427–468. Corpora and language in use – proceedings 5. Louvain-la-Neuve: Presses Universitaires de Louvain.Suche in Google Scholar
The Douglas Fir Group. 2016. A transdisciplinary framework for SLA in a multilingual world. The Modern Language Journal 100(S1). 19–47. https://doi.org/10.1111/modl.12301.Suche in Google Scholar
Thwaites, Peter, Nathan Vandeweerd & Magali Paquot. submitted. Crowdsourced comparative judgement for evaluating learner corpus texts: How reliable are judges recruited from an online crowdsourcing platform?Suche in Google Scholar
Tracy-Ventura, Nicole & Paquot Magali (eds.). 2021. The Routledge handbook of second language acquisition and corpora. Oxon and New York: Routledge.10.4324/9781351137904Suche in Google Scholar
Tracy-Ventura, Nicole & Florence Myles. 2015. The importance of task variability in the design of learner corpora for SLA research. International Journal of Learner Corpus Research 1(1). 58–95. https://doi.org/10.1075/ijlcr.1.1.03tra.Suche in Google Scholar
Tracy-Ventura, Nicole & Amanda Huensch. 2018. The potential of publicly shared longitudinal learner corpora in SLA research. In Aarnes Gudmestad & Amanda Edmonds (eds.), Critical reflections on data in second language acquisition, 149-170. Amsterdam & Philadelphia: John Benjamins.10.1075/lllt.51.07traSuche in Google Scholar
Tracy-Ventura, Nicole, Magali Paquot & Florence Myles. 2021. The future of corpora in SLA. In Nicole Tracy-Ventura & Magali Paquot (eds.), The Routledge handbook of second language acquisition and corpora, 409–424. Oxon and New York: Routledge.10.4324/9781351137904-36Suche in Google Scholar
Vandeweerd, Nathan, Alex Housen & Magali Paquot. 2023. Comparing the longitudinal development of phraseological complexity across oral and written tasks. Studies in Second Language Acquisition 45(4). 787–811. https://doi.org/10.1017/S0272263122000389.Suche in Google Scholar
VanPatten, Bill & Jessica Williams. 2015. Introduction: The nature of theories. In Bill VanPatten & Jessica Williams (eds.), Theories in second language acquisition: An Introduction, 2nd edn., 1–16. New York: Routledge.10.4324/9780203628942Suche in Google Scholar
Wulff, Stefanie. 2023. Corpus research. In Jennifer Cabrelli, Adel Chaouch-Orozco, Jorge González Alonso, Sergio Miguel Pereira Soares, Eloi Puig-Mayenco & Jason Rothman (eds.), The Cambridge handbook of third language acquisition, 683–695. Cambridge: Cambridge University Press.Suche in Google Scholar
Wulff, Stefanie & Samantha Creel. 2022. Corpus-based SLA research: Potential applications for ZAEBUC and beyond. In David M. Palfreyman & Nizar Habash (eds.), Bilingual writers and corpus analysis, 277–287. New York & Oxon: Routledge.10.4324/9781003183921-9Suche in Google Scholar
Wulff, Stefanie & Stefan Th. Gries. 2019. Particle placement in learner English: Measuring effects of context, first language, and individual variation. Language Learning 69(4). 873–910. https://doi.org/10.1111/lang.12354.Suche in Google Scholar
Wulff, Stefanie & Stefan Th. Gries. 2021. Explaining individual variation in learner corpus research: Some methodological suggestions. In Bert Le Bruyn & Magali Paquot (eds.), Learner corpus research meets second language acquisition, 191–213. Cambridge: Cambridge University Press.10.1017/9781108674577.010Suche in Google Scholar
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- CLLT ‘versus’ Corpora and IJCL: a (half serious) keyness analysis
- Corpus linguistics meets historical linguistics and construction grammar: how far have we come, and where do we go from here?
- Register and the dual nature of functional correspondence: accounting for text-linguistic variation between registers, within registers, and without registers
- Corpus-based discourse analysis: from meta-reflection to accountability
- Learner corpus research: a critical appraisal and roadmap for contributing (more) to SLA research agendas
- Corpus linguistics and the social sciences
- The wompom
Artikel in diesem Heft
- Frontmatter
- CLLT ‘versus’ Corpora and IJCL: a (half serious) keyness analysis
- Corpus linguistics meets historical linguistics and construction grammar: how far have we come, and where do we go from here?
- Register and the dual nature of functional correspondence: accounting for text-linguistic variation between registers, within registers, and without registers
- Corpus-based discourse analysis: from meta-reflection to accountability
- Learner corpus research: a critical appraisal and roadmap for contributing (more) to SLA research agendas
- Corpus linguistics and the social sciences
- The wompom