Selected Publications

Alexopoulou, T., J. Geertzen, A. Korhonen & D. Meurers (2015). Exploring large educational learner corpora for SLA research: perspectives on relative clauses. International Journal of Learner Corpus Research 1(1), 96–129.

Alexopoulou, T., M. Michel, A. Murakami & D. Meurers (2017). Analyzing learner language in task contexts: A study case of task-based performance in EFCAMDAT. Language Learning Special Issue on “Language learning research at the intersection of experimental, corpus-based and computational methods: Evidence and interpretation”.

Amaral, L. & D. Meurers (2008). From Recording Linguistic Competence to Supporting Inferences about Language Acquisition in Context: Extending the Conceptualization of Student Models for Intelligent Computer-Assisted Language Learning. Computer-Assisted Language Learning 21(4), 323–338. URL http://purl.org/dm/papers/amaral-meurers-call08.html.

Amaral, L. & D. Meurers (2009). Little Things With Big Effects: On the Identification and Interpretation of Tokens for Error Diagnosis in ICALL. CALICO Journal 26(3), 580–591. URL http://purl.org/dm/papers/amaral-meurers-09.html.

Amaral, L. & D. Meurers (2011). On Using Intelligent Computer-Assisted Language Learning in Real-Life Foreign Language Teaching and Learning. ReCALL 23(1), 4–24. URL http://purl.org/dm/papers/amaral-meurers-11.html.

Amaral, L., D. Meurers & R. Ziai (2011). Analyzing Learner Language: Towards A Flexible NLP Architecture for Intelligent Language Tutors. Computer-Assisted Language Learning 24(1), 1–16. URL http://purl.org/dm/papers/amaral-meurers-ziai-10.html.

Bailey, S. (2008). Content Assessment in Intelligent Computer-Aided Language Learning: Meaning Error Diagnosis for English as a Second Language. Ph.D. thesis, The Ohio State University. URL http://purl.org/net/Bailey-08.pdf.

Bailey, S. & D. Meurers (2008). Diagnosing meaning errors in short answers to reading comprehension questions. In J. Tetreault, J. Burstein & R. D. Felice (eds.), Proceedings of the 3rd Workshop on Innovative Use of NLP for Building Educational Applications (BEA-3) at ACL’08. Columbus, Ohio, pp. 107–115. URL http://aclweb.org/anthology/W08-0913.

Beinborn, L. (2016). Predicting and manipulating the difficulty of text completion exercises for language learning. Ph.D. thesis, Department of Computer Science, Technische Universitt Darmstadt. URL http://tuprints.ulb.tu-darmstadt.de/5647/.

Berendes, K., S. Vajjala, D. Meurers, D. Bryant, W. Wagner, M. Chinkina & U. Trautwein (2017). Reading demands in secondary school: Does the linguistic complexity of textbooks increase with grade level and the academic orientation of the school track? Journal of Educational Psychology .

Boyd, A., J. Hana et al. (2014). The MERLIN corpus: Learner language and the CEFR. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, A. Moreno, J. Odijk & S. Piperidis (eds.), Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14). Reykjavik, Iceland: European Language Resources Association (ELRA), pp. 1281–1288. URL http://www.lrec-conf.org/proceedings/lrec2014/pdf/606_Paper.pdf. ACL Anthology Identifier: L14-1488.

Bryant, D., K. Berendes, D. Meurers & Z. Wei (2017). Schulbuchtexte der Sekundarstufe auf dem linguistischen Prfstand. Analyse der bildungs- und fachsprachlichen Komplexitt in Abhngigkeit von Schultyp und Jahrgangsstufe. In M. Hennig (ed.), Linguistische Komplexitt ein Phantom?, Tbingen: Stauffenburg Verlag.

Chen, X. & D. Meurers (2016a). Characterizing Text Difficulty with Word Frequencies. In Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications. San Diego, CA: Association for Computational Linguistics, pp. 84–94.

Chen, X. & D. Meurers (2016b). CTAP: A Web-Based Tool Supporting Automatic Complexity Analysis. In Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity. Osaka, Japan: The International Committee on Computational Linguistics.

Chen, X. & D. Meurers (2017a). Challenging Learners in Their Individual Zone of Proximal Development Using Pedagogic Developmental Benchmarks of Syntactic Complexity. In Proceedings of the Joint 6th Workshop on NLP for Computer Assisted Language Learning and 2nd Workshop on NLP for Research on Language Acquisition at NoDaLiDa 2017. ACL, Linkping Electronic Conference Proceedings 134, pp. 8–17. URL http://aclweb.org/anthology/W17-0302.pdf.

Chen, X. & D. Meurers (2017b). Word frequency and readability: Predicting the text-level readability with a lexical-level attribute. Journal of Research in Reading URL http://dx.doi.org/10.1111/1467-9817.12121. JRIR-2017-01-0006.R1.

Chinkina, M. & D. Meurers (2016). Linguistically-Aware Information Retrieval: Providing Input Enrichment for Second Language Learners. In Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications. San Diego, CA, pp. 188–198. URL http://aclweb.org/anthology/W16-0521.pdf.

Chinkina, M. & D. Meurers (2017). Question Generation for Language Learning: From ensuring texts are read to supporting learning. In In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications. p. 334. URL http://www.sfs.uni-tuebingen.de/~mchnkina/downloads/Chinkina_Meurers_BEA_2017.pdf.

De Kuthy, K., R. Ziai & D. Meurers (2015). Learning what the crowd can do: A case study on focus annotation. In Proceedings of the 6th Conference on Quantitative Investigations in Theoretical Linguistics. URL http://hdl.handle.net/10900/67211.

De Kuthy, K., R. Ziai & D. Meurers (2016a). Focus Annotation of Task-Based Data: a comparison of expert and crowd-sourced annotation in a reading comprehension corpus. In Proceedings of the 10th Edition of the Language Resources and Evaluation Conference (LREC). Portoro, Slovenia, pp. 3928–3934. URL http://www.lrec-conf.org/proceedings/lrec2016/pdf/1083_Paper.pdf.

De Kuthy, K., R. Ziai & D. Meurers (2016b). Focus Annotation of Task-Based Data: Establishing the Quality of Crowd Annotation. In Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016). Berlin, Germany: ACL, pp. 110–119. URL http://aclweb.org/anthology/W16-1713.pdf.

Geertzen, J., T. Alexopoulou & A. Korhonen (2013). Automatic linguistic annotation of large scale L2 databases: The EF-Cambridge Open Language Database (EFCAMDAT). In Proceedings of the 31st Second Language Research Forum (SLRF). Cascadilla Press. URL http://purl.org/icall/efcamdat.

Hahn, M. & D. Meurers (2011). On deriving semantic representations from dependencies: A practical approach for evaluating meaning in learner corpora. In Proceedings of the Intern. Conference on Dependency Linguistics (DEPLING 2011). Barcelona, pp. 94–103. URL http://purl.org/dm/papers/hahn-meurers-11.html.

Hahn, M. & D. Meurers (2012). Evaluating the Meaning of Answers to Reading Comprehension Questions: A Semantics-Based Approach. In Proceedings of the 7th Workshop on Innovative Use of NLP for Building Educational Applications (BEA-7) at NAACL-HLT 2012. Montreal, pp. 94–103. URL http://purl.org/dm/papers/hahn-meurers-12.html.

Hancke, J. (2013). Automatic Prediction of CEFR Proficiency Levels Based on Linguistic Features of Learner Language. Master’s thesis, International Studies in Computational Linguistics. Seminar fr Sprachwissenschaft, Universitt Tbingen.

Hancke, J. & D. Meurers (2013). Exploring CEFR classification for German based on rich linguistic modeling. In Learner Corpus Research 2013, Book of Abstracts. Bergen, Norway. URL http://purl.org/dm/papers/Hancke.Meurers-13.html.

Hancke, J., D. Meurers & S. Vajjala (2012). Readability Classification for German using lexical, syntactic, and morphological features. In Proceedings of the 24th International Conference on Computational Linguistics (COLING). Mumbay, India, pp. 1063–1080. URL http://aclweb.org/anthology-new/C/C12/C12-1065.pdf.

Krivanek, J. & D. Meurers (2011). Comparing Rule-Based and Data-Driven Dependency Parsing of Learner Language. In Proceedings of the Intern. Conference on Dependency Linguistics (DEPLING 2011). Barcelona, pp. 310–317. URL http://purl.org/dm/papers/krivanek-meurers-11.html.

Meurers, D. (2012). Natural Language Processing and Language Learning. In C. A. Chapelle (ed.), Encyclopedia of Applied Linguistics, Oxford: Wiley, pp. 4193–4205. URL http://purl.org/dm/papers/meurers-12.html.

Meurers, D. (2015). Learner Corpora and Natural Language Processing. In S. Granger, G. Gilquin & F. Meunier (eds.), The Cambridge Handbook of Learner Corpus Research, Cambridge University Press, pp. 537–566.

Meurers, D. & M. Dickinson (2017). Evidence and Interpretation in Language Learning Research: Opportunities for Collaboration with Computational Linguistics. Language Learning 67(2). http://dx.doi.org/10.1111/lang.12233.

Meurers, D., R. Ziai, L. Amaral, A. Boyd, A. Dimitrov, V. Metcalf & N. Ott (2010). Enhancing Authentic Web Pages for Language Learners. In Proceedings of the 5th Workshop on Innovative Use of NLP for Building Educational Applications (BEA-5) at NAACL-HLT 2010. Los Angeles, pp. 10–18. URL http://aclweb.org/anthology/W10-1002.pdf.

Meurers, D., R. Ziai, N. Ott & S. Bailey (2011a). Integrating Parallel Analysis Modules to Evaluate the Meaning of Answers to Reading Comprehension Questions. IJCEELL. Special Issue on Automatic Free-text Evaluation 21(4), 355–369. URL http://www.inderscience.com/info/inarticle.php?artid=42793.

Meurers, D., R. Ziai, N. Ott & J. Kopp (2011b). Evaluating Answers to Reading Comprehension Questions in Context: Results for German and the Role of Information Structure. In Proceedings of the TextInfer 2011 Workshop on Textual Entailment. Edinburgh, pp. 1–9. URL http://aclweb.org/anthology/W11-2401.pdf.

Ott, N. (2009). Information Retrieval for Language Learning: An Exploration of Text Difficulty Measures. ISCL master’s thesis, Universität Tübingen, Seminar für Sprachwissenschaft, Tübingen, Germany. URL http://drni.de/zap/ma-thesis.

Ott, N. & D. Meurers (2010). Information Retrieval for Education: Making Search Engines Language Aware. Themes in Science and Technology Education. Special issue on computer-aided language analysis, teaching and learning: Approaches, perspectives and applications 3(1–2), 9–30. URL http://purl.org/dm/papers/ott-meurers-10.html.

Ott, N. & R. Ziai (2010). Evaluating Dependency Parsing Performance on German Learner Language. In M. Dickinson, K. Müürisep & M. Passarotti (eds.), Proceedings of the Ninth International Workshop on Treebanks and Linguistic Theories. Tartu, Estonia: Tartu University Press, vol. 9 of NEALT Proceeding Series, pp. 175–186. URL http://hdl.handle.net/10062/15960.

Ott, N., R. Ziai, M. Hahn & D. Meurers (2013). CoMeT: Integrating different levels of linguistic modeling for meaning assessment. In Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval). Atlanta, GA: ACL, pp. 608–616. URL http://aclweb.org/anthology/S13-2102.pdf.

Ott, N., R. Ziai & D. Meurers (2012). Creation and Analysis of a Reading Comprehension Exercise Corpus: Towards Evaluating Meaning in Context. In T. Schmidt & K. Wörner (eds.), Multilingual Corpora and Multilingual Corpus Analysis, Amsterdam: Benjamins, Hamburg Studies in Multilingualism (HSM), pp. 47–69. URL https://benjamins.com/\#catalog/books/hsm.14.05ott.

Rudzewitz, B., R. Ziai, K. De Kuthy & D. Meurers (2017). Developing a web-based workbook for English supporting the interaction of students and teachers. In Proceedings of the Joint 6th Workshop on NLP for Computer Assisted Language Learning and 2nd Workshop on NLP for Research on Language Acquisition at NoDaLiDa 2017. ACL, Linkping Electronic Conference Proceedings 134, pp. 36–46. URL http://aclweb.org/anthology/W17-0305.pdf.

Svetashova, Y. (2015). C-Test Item Difficulty Prediction: Exploring the Linguistic Characteristics of C-Tests Using Machine Learning. Master’s thesis in computational linguistics, Department of Linguistics, University of Tbingen. 186pp.

Vajjala, S. & D. Meurers (2012). On Improving the Accuracy of Readability Classification using Insights from Second Language Acquisition. In J. Tetreault, J. Burstein & C. Leacock (eds.), In Proceedings of the 7th Workshop on Innovative Use of NLP for Building Educational Applications. Montral, Canada: Association for Computational Linguistics, pp. 163–173. URL http://aclweb.org/anthology/W12-2019.pdf.

Vajjala, S. & D. Meurers (2013). On The Applicability of Readability Models to Web Texts. In Proceedings of the Second Workshop on Predicting and Improving Text Readability for Target Reader Populations. pp. 59–68.

Vajjala, S. & D. Meurers (2014a). Assessing the relative reading level of sentence pairs for text simplification. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL). ACL, Gothenburg, Sweden: Association for Computational Linguistics, pp. 288–297.

Vajjala, S. & D. Meurers (2014b). Exploring Measures of Readability for Spoken Language: Analyzing linguistic features of subtitles to identify age-specific TV programs. In Proceedings of the Third Workshop on Predicting and Improving Text Readability for Target Reader Populations. Gothenburg, Sweden: ACL, pp. 21–29.

Vajjala, S. & D. Meurers (2014c). Readability Assessment for Text Simplification: From Analyzing Documents to Identifying Sentential Simplifications. International Journal of Applied Linguistics, Special Issue on Current Research in Readability and Text Simplification 165(2), 142–222.

Vajjala, S., D. Meurers, A. Eitel & K. Scheiter (2016). Towards grounding computational linguistic approaches to readability: Modeling reader-text interaction for easy and difficult texts. In Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC). Osaka, Japan: The COLING 2016 Organizing Committee, pp. 38–48. URL http://aclweb.org/anthology/W16-4105.pdf.

Wisniewski, K., K. Schöne, L. Nicolas, C. Vettori, A. Boyd, D. Meurers, A. Abel & J. Hana (2013). MERLIN: An online trilingual learner corpus empirically grounding the european reference levels in authentic learner data. In ICT for Language Learning 2013, Conference Proceedings, Florence, Italy. Libreriauniversitaria. it Edizioni.

Ziai, R. (2009). A Flexible Annotation-Based Architecture for Intelligent Language Tutoring Systems. Master’s thesis, Universität Tübingen, Seminar für Sprachwissenschaft. URL http://www.sfs.uni-tuebingen.de/~rziai/papers/Ziai-09.pdf.

Ziai, R., K. De Kuthy & D. Meurers (2016). Approximating Givenness in Content Assessment Through Distributional Semantics. In Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics (*SEM). Berlin, Germany: ACL, pp. 209–218. URL http://aclweb.org/anthology/S16-2026.pdf.

Ziai, R. & D. Meurers (2014). Focus Annotation in Reading Comprehension Data. In Proceedings of the 8th Linguistic Annotation Workshop (LAW VIII, 2014). COLING, Dublin, Ireland: ACL, pp. 159–168. URL http://aclweb.org/anthology/W14-4922.pdf.

Ziai, R., N. Ott & D. Meurers (2012). Short Answer Assessment: Establishing Links Between Research Strands. In Proceedings of the 7th Workshop on Innovative Use of NLP for Building Educational Applications (BEA-7) at NAACL-HLT 2012. Montreal, pp. 190–200. URL http://aclweb.org/anthology/W12-2022.pdf.

Ziegler, N., D. Meurers, P. Rebuschat, S. Ruiz, J. L. Moreno, M. Chinkina, W. Li & S. Grey (2017). Moving forward at the intersection of CALL, NLP, and SLA: Methodological implications from an input enhancement project. Language Learning .