Part of
Learner Corpora and Language Teaching
Edited by Sandra Götz and Joybrato Mukherjee
[Studies in Corpus Linguistics 92] 2019
► pp. 2948
Bakota, Tibor, Beszédes, Árpád, Gergely, Tamás, Gyalai, Milán Imre, Gyimóthy, Tibor & Füleki, Dániel
2009Semi-automatic test case generation from business process models. In Proceedings of the 11th Symposium on Programming Languages and Software Tools and 7th Nordic Workshop on Model Driven Software Engineering, 5–18. Tampere, Finland: Tampere University of Technology. [URL]> (15 February 2018).
Bayerl, Petra S.
2007Identifying sources of disagreement: Generalizability theory in manual annotation studies. Computational Linguistics 33(1): 3–8. DOI logoGoogle Scholar
Fort, Karën, Adda, Gilles & Cohen, K. Bretonnel
2011Amazon mechanical turk: Gold mine or coal mine? Computational Linguistics 37(2): 413–420. DOI logoGoogle Scholar
Gerasimenko, Ekaterina
2018Automated Error Detection in English Examination Essays Written by Russian Students. BA dissertation, School of Linguistics, Research University Higher School of Economics, Moscow.Google Scholar
Glaznieks, Aivars, Nicolas, Lionel, Stemle, Egon, Abel, Andrea & Lyding, Verena
2014Establishing a standardised procedure for building learner corpora. Journal of Applied Language Studies 8(3): 5–20.Google Scholar
Granger, Sylviane
2003The International Corpus of Learner English: A new resource for foreign language learning and teaching and second language acquisition research. TESOL Quarterly 37(3): 538–546. DOI logoGoogle Scholar
2004Computer learner corpus research: Current status and future prospects. In Applied Corpus Linguistics: A Multidimensional Perspective, Ulla Connor & Thomas A. Upton (eds), 123–145. Amsterdam: Rodopi. DOI logoGoogle Scholar
Gierl, Mark J. & Haladyna, Thomas M.
2012Automatic Item Generation: Theory and Practice. New York NY: Routledge. DOI logoGoogle Scholar
Heilman, Michael
2011Automatic Factual Question Generation from Text. PhD dissertation, Carnegie Mellon University. CMU-LTI-11-004. [URL]> (25 February 2018).
Hoshino, Ayako & Nakagawa, Hiroshi
2007Assisting cloze test making with a web application. In Proceedings of SITE 2007--Society for Information Technology & Teacher Education International Conference, Roger Carlsen, Karen McFerrin, Jerry Price, Roberta Weber & Dee Anna Willis (eds), 2807–2814. Chesapeake VA: AACE. [URL]> (25 February 2018).
Hovy, Eduard & Lavid, Julia
2010Towards a ‘Science’ of corpus annotation: A new methodological challenge for corpus linguistics. International Journal of Translation 22(1): 13–36.Google Scholar
Huddleston, Rodney & Pullum, Geoffrey K.
2002The Cambridge Grammar of the English Language. Cambridge: CUP. DOI logoGoogle Scholar
Leech, Geoffrey
2015Adding linguistic annotation. In Developing Linguistic Corpora: A Guide to Good Practice. Oxford: Oxbow Books.Google Scholar
Lyashevskaja, Olga & Plungian, Vladimir
2003Morphological annotation in Russian National Corpus: A theoretical feedback. In 5th International Conference on Formal Description of Slavic Languages (FDSL-5). Frankfurt: Peter Lang.Google Scholar
Plugian, Vladimir
2005Zachem nuzhen Natsional’ny korpus russkogo yazyka? Neformal’noye vvedeniye (Why do we need Russian National Corpus? Informal introduction). In Russian National Corpus: 2003–2005, 6–20. Moscow: Indrik. [URL]> (25 February 2018).
Proshina, Zoya G. & Eddy, Anna A.
2017Russian English: History, Functions, and Features. Cambridge: CUP.Google Scholar
Saraceni, Mario
2015World Englishes: A Critical Analysis. London: Bloomsbury.Google Scholar
Vinogradova, Olga
2016The role and applications of expert error annotation in a corpus of English learner texts. In Computational Linguistics and Intellectual Technologies (Proceedings of International Conference “Dialogue 2016”) issue 15(22), 740–751.Google Scholar
Vinogradova, Olga, Lyashevskaya, Olga & Panteleeva, Irina
2017Multi-level student essay feedback in a learner corpus. In Computational Linguistics and Intellectual Technologies (Papers from the Annual conference “Dialogue”) Issue 16(23), Vol. 1, 382–396. Moscow: RSUH.Google Scholar
Vinogradova, Olga & Login, Nikita
2017The design of tests with multiple choice questions automatically generated from essays in a learner corpus. Higher School of Economics Research Paper No. WP BRP 60/LNG/2017 13 December 2017 <[URL]> (25 February 2018) DOI logo
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Login, Nikita
2023. Distractor Generation for Lexical Questions Using Learner Corpus Data. Journal of Linguistics/Jazykovedný casopis 74:1  pp. 345 ff. DOI logo

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