h1

 

Research Interests

• Second Language Acquisition/Learning
• Implicit/Statistical Learning
• Formulaic Language
• Linguistic Variation
• ACAW - Aachen Corpus of Academic Writing

Supervision of bachelor / master theses in these fields

Forschungslabor: Language Learning and Processing Lab

Lokalisierung: Kármánstr. 17/19, Room 114, 52062 Aachen

Beschreibung: Das Language Learning & Processing Lab beschäftigt sich mit dem Erwerb, der Verarbeitung und der Entwicklung der Sprachkompetenzen. Wir konzentrieren uns auf zwei grundsätzliche Fragen: Was bedeutet es, Sprache zu beherrschen und wie wird dieses Wissen erworben? Wir untersuchen die Lernmechanismen, die Kindern und Erwachsenen beim Erwerb von Erst- und Zweitsprachen unterliegen, die Mechanismen, die an der Sprachverarbeitung beteiligt sind, und die verschiedenen Faktoren — kognitive, affektive und soziologiedemographische — die die sprachliche Entwicklung beeinflussen. Wir entwickeln auch Software für die automatische Textanalyse sowie adaptive Sprachlernsysteme, die die Sprachentwicklung erfassen und beschleunigen und dabei dichte Längsschnittdaten einzelner Lerntrajektorien erzeugen.

Hardware-Ausstattung (Geräte, etc.): 17 working stations (Modell: OptiPlex 3040 Micro: Prozessor: i5 - 6500T, 3,2 Ghz, 4 Kerne; 8 GB RAM DDR3L; Intel HD Graphics 530)

Software-Ausstattung (eigene Lizenz, Hochschullizenz): Microsoft Office, Adobe Reader, VLC media player , PsychoPy, OpenSesame, R, RStudio, AntConc, UAM Corpus Tool und Putty

Anzahl der Arbeitsplätze (Studierende/Forsch.): 22

Anzahl der Untersuchungsplätze: 17

 

Teaching

Supervision of UROP-Proje cts

Summer Term 2019
Fabio Pruneri (Harvard University)
Emma Tseng (University of Illinois)
Joo Lee (Cornell University)
Logan Tidstrom (University of Michigan)
Alexander Diraviam (University of Florida)

Summer Term 2020
Mustafa, Muhammad (University of Calgary)
Rachel Swindell (Carnegie Mellon University)
Fangcong Yin (University of Notre Dame)

Summer Term 2021
Anil Alper (Grinell University)
Daniel Yankin (Georgia Institute of Technology)
Justus Mattern (RWTTH Aachen University)

Summer Term 2022
Lu Allen (University of Waterloo)

 

Career

 

Third party funding

CEASELESS - Chunk Learning and the Development of Speaking and Listening Fluency: Integrating Experimental and Computational Approaches

07.20–06.21 (Hauptantragstellerin zusammen mit PD Dr rer. nat. Ralf Schlüter, Lehrstuhl Informatik 6: Human Language Technology and Pattern Recognition, RWTH Aachen University.)
Funded by Exploratory Research Space (ERS) Projekt im Rahmen der Exzellenzstra- tegie des Bundes und der Länder. – Der ERS zielt darauf ab, neue interdisziplinäre Forschungsfelder zu identifizieren und zu erschliessen. Es ist das wichtigste Förderinstrument für interdisziplinäre Forschungsprojekte an der RWTH und fördert integrative Forschung, die auf wissenschaftliches und praktisches Wissen zur Lösung gesellschaftlicher Herausforderungen abzielt.
Effective communication skills are key to personal contentment, academic achievement and professional career success. Being able to communicate effectively is even found to facilitate social relationships. Competent language users experience more success in conveying their knowledge and views. However, producing and comprehending fluent and informationally dense speech are highly demanding communication skills that call upon many language-related and general cognitive abilities. The development of these skills in a non-native (second) language is even more challenging due to a lack of automatized procedural knowledge and reliance on additional memory resources. This, among other things, results from the fact that non-native speakers are relatively less exposed to spoken input of the target language compared to their native speakers and the fact that they few opportunities to practice along with limited feedback to target language performance. The difficulty of mastering speaking and listening skills is exacerbated by the fact that they both are subject to real- time constraints. Recent theoretical approaches to the understanding of human language processing posit that to ameliorate the effects of these constraints (the Now-or-Never Bottleneck), humans learn to rapidly and efficiently recode and compress the linguistic input into larger units (‘chunks’) and rely on such chunks to facilitate language production and comprehension. While the body of empirical research on chunking and its role in native language processing has been expanding rapidly in the last few years, there is virtually no research that investigates its role in the processing and learning of language by nonnative speakers. Moreover, the existing body of research has been largely confined to experimental studies conducted under laboratory conditions with stimulus material consisting of isolated sentences rather than on authentic connected speech. This raises the question to what extent the findings obtained in this research extend to real life communicative situations. The available research assessing longer stretches of connected speech has relied on corpora of human transcriptions of speech. The research project CEASELESS is aimed at [1] advancing our understanding of the role of chunking mechanisms in non-native speech production and comprehension under real time constraints and [2] paving the way for the development of an automatic scoring system geared towards assessing speaking and listening competencies that provides individualized feedback based on reliable performance metrics that goes beyond coarse-grained categories typically provided by human ratings based on descriptors on 5-7 point scales (e.g., Common European Framework of Reference, C1 level: “Can understand a wide range of demanding, longer clauses, [...] or “Can express ideas fluently and spontaneously without much obvious search for expression”). The key to the success of the CEASELESS project is a trandisciplinary and multi- methodological approach, along with along with strong theory-driven investigation. This innovative research draws on cutting-edge methods from experimental psychology, psycholinguistics, natural language processing (NLP) techniques, automatic speech recognition (ASR) and machine learning (ML). In pursuit of these overarching aims, CEASELESS launches in parallel five mutually informative research axes: [1] we conduct psychometrically reliable behavioral experiments to assess listening fluency and to determine to what extent inter-individual variation in performance on listening tasks is related to individual differences in chunking ability and working memory capacity; [2] we employ NLP techniques and ML to automatically assess speaking performance in two populations of nonnative speakers – secondary school children and university students – based on fluency and language complexity metrics and optionally derived from automatic speech recognition output; [3] we precisely characterize the statistics of various types of spoken input in the target language to establish benchmarks against which to evaluate performance of the two populations; [4] we explore methods for automatic speech recognition that scale well with age, voice and language development and [5] we investigate the influence of, and potential approaches to exploit the uncertainty introduced by recognition errors from ASR and contrast speaking assessment based on text, speech transcription and automatic transcription.

StatLearn - Untersuchung der Rolle des Statistischen Lernens im Zweitspracherwerb

04/2020–03/23– KE 1476/2-2 (Phase 2) (Unravelling the Role of Statistical Learning in Second Language Learning and Processing) (Hauptantragstellerin)
Extensive research has shown that statistical learning (SL) – succinctly defined as the discovery of structure by way of statistical properties of the input – is a fundamental mechanism that shapes basic aspects of perception and action. In the area of language learning, SL has been shown to boost the acquisition of knowledge across all components of the linguistic system, from the acquisition of properties of speech as well as the graphotactic and morphological regularities of written words to complex grammatical structures. Moreover, a growing body of recent evidence demonstrates a tight coupling between individual differences (IDs) in SL abilities and variability in native language learning and processing, in both child and adult populations. However, while this research has been expanding rapidly in the last few years, much less is known about the role of SL in second-language (L2) learner populations.
The first phase (P1) of the present project has made significant contributions to the current understanding of SL and its link to L2 learning and processing (L2LP) by providing a systematic investigation of the extent to which L2-English learners can acquire linguistic knowledge through the computation of statistical regularities inherent in L2 input. The findings obtained in P1 have paved the way for a more comprehensive and integrated approach to address a number of central theoretical and methodological issues in the second phase (P2). The focus of P1 was predominantly on group-level analyses revealing whether and to what extent L2 learners can develop sensitivity to the statistics of linguistic patterns and structures. This was a natural first step toward an understanding of SL and its link to L2LP. The objective of P2 is threefold: [1] to examine inter- relationship between SL abilities and experience-related and cognitive-affective IDs factors and to determine their relative impact on L2LP, [2] to investigate the nature of SL knowledge by uncover- ing implicit and explicit contributions to SL and [3] to introduce novel processing-based measures for assessing SL abilities and adequately aligned L2 performance measures based on ecologically valid data. The project brings together empirical evidence from a series of corpus-based and behavioral experimental studies to provide a deeper understanding of the complex dynamics between SL and IDs factors that are implicated in L2 production and comprehension. By synthesizing SL and implicit learning paradigms, it explores both the phenomenological and learning consequences of SL knowledge. Such research has the potential to transform our current understanding of SL and its link to L2LP and, at the same time, provides valuable insights into mechanisms underlying language learning and processing, more generally.

 

Publications (selection)

(complete list in RWTH Publications)

2022

Kerz, E., Neumann, S., & Niemietz, P. (2022). Assessing linguistic complexity and register flexibility in advanced second language learners: Evidence from group-and individual-level analyses. Register Studies.

Kerz, E., Qiao, Y., Zanwar, S. & Wiechmann, D. (2022). SPADE: A Big Five-Mturk Dataset of Argumentative Speech Enriched with Socio-Demographics for Personality Detection. LREC 2022 (Language Resources and Evaluation Conference). The European Language Research Association

Wiechmann, D., Qiao, Y., Kerz, E. & Mattern, J. (2022). Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5276–5290, Dublin, Ireland. Association for Computational Linguistics.

Kerz, E., Qiao, Y., Zanwar, S. & Wiechmann, D. (2022). Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features. In Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, pages 182–194, Dublin, Ireland. Association for Computational Linguistics.

2021

Kerz, E., Qiao, Y. & Wiechmann, D. (2021). Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task. In Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 13–24, Online. Association for Computational Linguistics.

Kerz, E., Wiechmann, D., Qiao, Y., Tseng, E. & Ströbel, M. (2021). Automated Classification of Written Proficiency Levels on the CEFR-Scale through Complexity Contours and RNNs. In Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, pages 199–209, Online. Association for Computational Linguistics

Qiao, Y., Zhou, W., Kerz, E., Schlüter, R. (2021) The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication. In Spontaneous L2 Speech. Proc. Interspeech 2021, 4453-4457, doi: 10.21437/Interspeech.2021-1402.

Qiao, Y., Yin, X., Wiechmann, D., Kerz, E. (2021) Alzheimer’s Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models. In Proc. Interspeech 2021, 3805-3809, doi: 10.21437/Interspeech.2021-1415

Mattern, J., Qiao, Y., Kerz, E., Wiechmann, D. & Strohmaier, M. (2021). FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in German. In Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER), pages 78–91, Dominican Republic. Association for Computational Linguistics.

Qiao, Y., Zanwar, S., Bhattacharyya, R., Wiechmann, D., Zhou, W., Kerz, E., & Schlüter, R. (2021). Prediction of Listener Perception of Argumentative Speech in a Crowdsourced data using (psycho-) linguistic and fluency features. arXiv preprint arXiv:2111.07130.

2020

Kerz, E., Qiao, Y., Wiechmann, D. & Ströbel, M. (2020). Becoming Linguistically Mature: Modeling English and German Children’s Writing Development Across School Grades. In Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 65–74, Seattle, WA, USA → Online. Association for Computational Linguistics.

Kerz, E., Pruneri, F., Wiechmann, D., Qiao, Y. & Ströbel, M. (2020). Understanding the Dynamics of Second Language Writing through Keystroke Logging and Complexity Contours. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 182–188, Marseille, France. European Language Resources Association.

Kerz, E., & Wiechmann, D. (2020). The role of verbal working memory in L2 sentence comprehension: Evidence from advanced German learners of English. Journal of Second Language Studies, 3(1), 1-30.

Kerz, E., & Wiechmann, D. (2020). Individual Differences. In The Routledge Handbook of Second Language Acquisition and Corpora (Eds: N. Tracy-Ventura & M. Paquot). 396-408.

Kerz, E., Wiechmann, D., & Silkens, T. (2020). Personality Traits Moderate the Relationship between Statistical Learning Ability and Second-Language Learners' Sentence Comprehension. In Cognitive Science Proceedings.

Ströbel, M., Kerz, E., & Wiechmann, D. (2020). The relationship between first and second language writing: Investigating the effects of first language complexity on second language complexity in advanced stages of learning. Language Learning, 70(3), 732-767.

Qiao, Y., Wiechmann, D., & Kerz, E. (2020). A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN. In Proceedings of the 3rd International Workshop on Rumours and Deception in Social Media (RDSM), pages 14–31, Barcelona, Spain (Online). Association for Computational Linguistics.

Kerz, E., Wiechmann, D., Frinsel, F., & Christiansen, M. H. (2020). Tuning to Real-Life Language Statistics: Online Processing of Multiword Sequences in Native and Non-Native Speakers Across Language Registers. PsyArXiv Preprints.

2019

Kerz, E., Burgdorf, A., Wiechmann, D., Meeger, S., Qiao, Y., Kohlschein, C. P., & Meisen, T. (2019). Understanding Vocabulary Growth Through An Adaptive Language Learning System. In Proceedings of the 8th Workshop on NLP for Computer Assisted Language Learning, pages 65–78, Turku, Finland. LiU Electronic Press.

Kerz, E., & Wiechmann, D. (2019). Effects of Statistical Learning Ability on the Second Language Processing of Multiword Sequences. In: Corpas Pastor, G., Mitkov, R. (eds) Computational and Corpus-Based Phraseology. EUROPHRAS 2019. Lecture Notes in Computer Science(), vol 11755. Springer, Cham. https://doi.org/10.1007/978-3-030-30135-4_15.

Kerz, E., Heilmann, A. & Neumann, S. (2019). L2 Processing Advantages of Multiword Sequences: Evidence from Eye-Tracking. In Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019), pages 60–69, Florence, Italy. Association for Computational Linguistics.

Kerz, E., Wiechmann, D., & Christiansen, M. H. (2019). Tuning to Multiple Statistics: Second Language Processing of Multiword Sequences Across Registers. In CogSci (pp. 546-552).

2018

Ströbel, M., Kerz, E., Wiechmann, D. & Qiao, Y. (2018). Text Genre Classification Based on Linguistic Complexity Contours Using a Recurrent Neural Network. Proceedings of the Tenth International Workshop Modelling and Reasoning in Context (pp 56-63.)

2017

Kerz, E., Wiechmann, D., & Riedel, F. (2017). Implicit Learning in the Crowd: Investigating the role of awareness in the acquisition of L2 knowledge. Studies in Second Language Acquisition, 39(4), 711-734. doi:10.1017/S027226311700002X

Kerz, E., & Wiechmann, D. (2017). Individual Differences in L2 Processing of Multi-word Phrases: Effects of Working Memory and Personality. In: Mitkov, R. (eds) Computational and Corpus-Based Phraseology. EUROPHRAS 2017. Lecture Notes in Computer Science(), vol 10596. Springer, Cham. https://doi.org/10.1007/978-3-319-69805-2_22

2016

Ströbel, M., Kerz, E., Wiechmann, D., & Neumann, S. (2016). CoCoGen - Complexity Contour Generator: Automatic Assessment of Linguistic Complexity Using a Sliding-Window Technique. In Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC), pages 23–31, Osaka, Japan. The COLING 2016 Organizing Committee.

Kerz, E., & Wiechmann, D. (2016). Second language construction learning: Investigating domain-specific adaptation in advanced L2 production. Language and Cognition, 8(4), 533-565. doi:10.1017/langcog.2015.6

Wiechmann, D. & Kerz, E. (2016). Formulaicity as a determinant of processing efficiency: Investigating clause ordering in complex sentences. English Language and Linguistics, 20(3), 421-437. doi:10.1017/S1360674316000320

Wiechmann, D., Kerz, E. & Steinfeld, J. (2016). The Effect of Dual Language Exposure on Single Language Development: Comparing Acquisition Rates in Bilingual and Monolingual Children. In Bannick, A. & Honselaar, W. (Eds.), From Variation to Iconicity (pp. 425-438).

 

Conference Presentation (selection)

1. Kerz, Elma, Ströbel, Marcus, Wiechmann, Daniel, and Intemann, Frauke (2020). Using information-theoretic measures and complexity contours to understand second language writing development. AILA 2020. Groningen, NL, August 9-14.2020.​
2. Lee, H. Joo (Cornell University), Kerz, Elma, Wiechmann, Daniel, and Christiansen, Morten H (Cornell University). (2020). Chunking in Second Language Production: Insights from Keystroke Logging. AILA 2020. Groningen, NL, August 9-14.2020.
3. ​Kerz, Elma, Wiechmann, Daniel and Neumann, Stella (2020). Effects of Word Predictability are Mediated by Language Register and Inter-Individual Variation in Working Memory Capacity Workshop at DGfS Annual Meeting, AG16 Diversity and Prediction in Language Processing: Influences of Speaker, Register, and Experimental Methods. Hamburg, DE, März 4-6, 2020.
4. ​Kerz, Elma, Wiechmann, Daniel and Silkens, Tandis (2020). Personality Traits Moderate the Relationship between Statistical Learning Ability and Second-Language Learners’ Sentence Comprehension. Conference: 42nd Annual Virtual Meeting of the Cognitive Science Society (COGSCI 2020), Toronto, Canada.​
5. ​Elma Kerz, Yu Qiao, Daniel Wiechmann and Marcus Ströbel. 2020. Becoming Linguistically Mature: Modeling English and German Children’s Writing Development Across School Grades. The Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications. Seattle, WA, USA → Online. Association for Computational Linguistics.
6. ​​Elma Kerz, Fabio Pruneri (Harvard University), Daniel Wiechmann, Yu Qiao, Marcus Ströbel. 2020. Understanding the Dynamics of Second Language Writing through Keystroke Logging and Complexity Contours. LREC. Marseille. France.​
7. Kerz, Elma (RWTH Aachen University), Ströbel, Marcus (RWTH Aachen University), Wiechmann, Daniel (University of Amsterdam), and Intemann, Frauke (RWTH Aachen University). 2020. Using Information-Theoretic Measures and Complexity Contours to Understand Second Language Writing Development. Symposium S016: Challenging the state of the art in L2 complexity research. AILA. 2020. Groningen, Netherlands.
8. Lee, Joo Hyun (Cornell University), Kerz, Elma (RWTH Aachen University), Wiechmann, Daniel (University of Amsterdam) and Christiansen, Morten H. (Cornell University). 2020. Chunking in Second Language Production: Insights from Keystroke Logging. Symposium S018: Chunks and chunking - offline and online perspectives. AILA. 2020. Groningen, Netherlands, Linguistic Field(s): Applied Linguistics; Cognitive Science; Neurolinguistics; Psycholinguistics; Typology.
9. Kerz, Elma (RWTH Aachen University), Wiechmann, Daniel (University of Amsterdam), and Neumann, Stella (RWTH Aachen University). Effects of Word Predictability are Mediated by Language Register and Inter-Individual Variation in Working Memory Capacity. AG16: Diversity and prediction in language processing: Influences of speaker, register and experimental method”. DGfS Annual Meeting 2020. Hamburg, Germany.
10. Kerz, Elma, Burgdorf, Andreas, Wiechmann, Daniel, Meeger, Stefan, Qiao, Yu, Kohlschein, Christian & Meisen, Tobias (2019). Understanding Vocabulary Growth Through An Adaptive Language Learning System. Proceedings of the 8th workshop for Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL2019). Turku, Finland, September 30, 2019.
11. Kerz, Elma & Wiechmann, Daniel (2019). Effects of Statistical Learning Ability on the Second Language Processing of Multiword Sequences. Computational and Corpus-Based Phraseology, Malaga, Spain, September 25-27, 2019.
12. Kerz, Elma & Wiechmann, Daniel & Ströbel, Marcus (2019). Applying the right statistics: Can advanced L2 learners acquire register-specic distributional statistics?. 5th Learner Corpus Research Conference. Warsaw, Poland, September 12-14, 2019.
13. Kerz, Elma, Heilmann, Arndt, & Neumann, Stella (2019). L2 Processing Advantages of Multiword Sequences: Evidence from Eye-Tracking. Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019) co-located with the 57th Annual Meeting of the Association of Computational Linguistics (ACL2019). Florence, Italy, August 2, 2019.
14. Kerz, Elma, Wiechmann, Daniel, & Christiansen, Morten, H. (2019) Tuning to Multiple Statistics: Second Language Processing of Multiword Sequences across Registers. 41st Annual Conference of the Cognitive Science Society, Montreal, Canada, July 24-27, 2019.
15. Kerz, Elma, Wiechmann, Daniel, & Christiansen, Morten, H. (2019) Statistical Learning in the Wild: What Natural Language Data Tell us about Distributional Learning in a Second Language. International Conference on Interdisciplinary Advances in Statistical Learning, San Sebastian, Spain, June 27-29, 2019.
16. Kerz, Elma, Wiechmann, Daniel, & Christiansen, Morten, H. (2019) Tuning to Multiple Statistics: Second Language Processing of Multiword Sequences across Registers. International Conference on Interdisciplinary Advances in Statistical Learning, San Sebastian, Spain, June 27-29, 2019.
17. Kerz, Elma, Wiechmann, Daniel, & Stroebel, Marcus. (2019) Applying the Right Statistics: Linking Distributional Learning to Language Production of Relative Clauses. International Conference on Interdisciplinary Advances in Statistical Learning, San Sebastian, Spain, June 27-29, 2019.
18. Kerz, Elma, Wiechmann, Daniel, & Silkens, Tandis. (2019) Personality Traits Mediate the Relationship between Statistical Learning Ability and L2 Sentence Comprehension. International Conference on Interdisciplinary Advances in Statistical Learning, San Sebastian, Spain June 27-29, 2019.
19. Kerz, Elma, Wiechmann, Daniel & Ströbel, Marcus. 2018. "Investigating the Development of L2 Writing: A Growth Curve Modeling Approach". EUROSLA 2018. September 5-8, 2018. Universität Münster, Deutschland.
20. Hintzen, Sven, Kerz, Elma, & Wiechmann, Daniel. 2018. "Individual Differenes in L2 Sentence Processing: Effects of Working Memory, Language Experience, and Inhibitory Control". EUROSLA 2018. September 5-8, 2018. Universität Münster, Deutschland.
21. Kerz, Elma, Heilmann, Arndt, & Neumann, Stella. 2018. "L2 Processing Advantages of Multiword Sequences: Evidence from Eye-Tracking". EUROSLA 2018. September 5-8, 2018. Universität Münster, Deutschland. 13 Kerz, Elma, Heilmann, Arndt, & Neumann, Stella. 2018. "L2 Processing Advantages of Multiword Sequences: Evidence from Eye-Tracking". EUROSLA 2018. September 5-8, 2018. Universität Münster, Deutschland.
22. Hintzen, Sven, Kerz, Elma, & Wiechmann, Daniel. 2018. "Individual Differenes in L2 Sentence Processing: Effects of Working Memory, Language Experience, and Inhibitory Control". Architectures and Mechanisms of Language Processing (AMLaP) 2018. September 6-8, 2018. Humboldt Universität Berlin, Deutschland.
23. Ströbel, Marcus, Kerz, Elma, Wiechmann, Daniel, & Qiao, Yu . 2018. "Text Genre Classification Based on Linguistic Complexity Contours Using A Recurrent Neural Network". MRC 2018 Modelling and Reasoning in Context. July 13, 2018. Stockholm, Schweden.
24. Neumann, Stella, Kerz, Elma, & Heilmann, Arndt. 2018. "Translationese or Transfer: Comparing Interference Effects in Translation and Second Language Learning". The 20th International Congress of Linguists. July 2–6, 2018. Kapstadt, Südafrika.
25. Kerz, Elma. 2018. "Recent Developments in the Language Sciences and Their Implications for Individualized Second-Language Learning". Eingeladener Vortrag auf dem 6. Treffen des INDUS Netzwerks (Individualisiertes Sprachlernen: Sprachtechnologische Ansätze und ihre Schnittstellen) 'At the Interface of Second Language Acquisition and Computational Linguistics', Tübingen, 28.2.–1.3.2018
26. Kerz, Elma & Wiechmann, Daniel. 2017. "Individual Differences in L2 Processing of Multi-Word Phrases: Effects of Working Memory and Personality". EUROPHRAS 2017. Computational and Corpus-based Phraseology Recent advances and interdisciplinary approaches. London, UK, 13–14 November 2017.
27. Marcus Ströbel, Kerz, Elma & Wiechmann, Daniel. 2017. "First Language Proficiency Predicts Second Language Proficiency". 4th Learner Corpus Research (LCR) Conference. Bozen, IT, 5–7 Oktober 2017.
28. Kerz, Elma & Ströbel, Marcus. 2017. "Aachen Corpus of Academic Writing (ACAW): A Multilingual Corpus of First and Second LanguageWriting". 4th Learner Corpus Research (LCR) Conference. Bozen, IT, 5–7 Oktober 2017.
29. Kerz, Elma & Wiechmann, Daniel. 2017. "Working memory, language experience and L2 comprehension ability". 23rd AMLaP conference, Architectures and Mechanisms of Language Processing, Lancaster, UK, 7–9 September, 2017.
30. Kerz, Elma & Wiechmann, Daniel. 2017. "Individual Differences in L2 Processing of Multi-Word Units: Effects of Working Memory and Personality". International Conference on Interdisciplinary Advances in Statistical Learning. Basque Center on Cognition, Brain and Language. Bilbao, ES, 28–30 Juni 2017.
31. Wiechmann, Daniel, Kerz, Elma Kerz & Terhorst, Dennis. 2017. "Effects of Individual Differences in Attentional Control on Implicit Language Learning". International Conference on Interdisciplinary Advances in Statistical Learning. Basque Center on Cognition, Brain and Language. Bilbao. ES. 28–30 Juni 2017.
32. Ströbel, Marcus, Elma Kerz, Wiechmann, Daniel & Stella Neumann. 2016. "COCOGEN - Complexity Contour Generator: Automatic Assessment of Linguistic Complexity Using a Sliding-Window Technique". Workshop on Computational Linguistics for Linguistic Complexity (CL4CL), COLING 2016. Osaka, JP. 11–16 Dezember 2016.
33. Wiechmann, Daniel, Kerz, Elma & Terhorst, Dennis. 2016. "Awareness, Inhibition and the Acquisition of L2 Morphology under Incidental Conditions". DGKL 7. Cognitive Approaches to Interaction and Language Attitudes. Duisburg Essen, DE, 5–7 Oktober 2016.
34. Wiechmann, Daniel, Kerz, Elma & Terhorst, Dennis. 2016. "Awareness, Inhibition and the Acquisition of L2 Morphology under Incidental Conditions". Fifth Implicit Learning Seminar. Lancaster, UK, 23–26 Juni 2016.
35. Ströbel, Marcus, Kerz, Elma & Wiechmann, Daniel. 2015. "Tracking Linguistic Complexity in Second Language Writing: A Sliding-Window Approach". 25th Meeting of Computational Linguistics in the Netherlands, Antwerpen, BE. 5–6 Februar 2015.
36. Kerz, Elma & Wiechmann, Daniel. 2015. "Second language construction learning: a study of syntagmatic growth in advanced L2 production". Thinking, Doing, and Learning (TDL2) Conference. Gröningen, NL, 3–5 Juni 2015.
37. Neumann, Stella, Kerz, Elma & Ströbel, Marcus. 2015. "Translationese or transfer: disentangling translation effects from L2 learning effects". Paper presented at ICAME 36, Word, Words, Words - Corpora and Lexis. Trier, DE, 27–31 Mai 2015.
38. Florian Riedel, Kerz, Elma & Wiechmann, Daniel. 2015. "Revisiting the role of awareness in implicit learning". International Conference on Interdisciplinary Advances in Statistical Learning. Basque Center on Cognition, Brain and Language, San Sebastian, ES, 25–27 Juni 2015.
39. Kerz, Elma. 2015. "Cohesive devices in second language writing". 42nd International Systemic Functional Congress. RWTH Aachen University, DE. 27–31 Juli 2015.
40. Wiechmann, Daniel & Kerz, Elma. 2014. "Missing generalizations: A supervised machine learning approach to L2 written production". European Chapter of the Association of Computation Linguistics (EACL) 2014 Workshop: Cognitive aspects of computational language learning. Gothenburg, Sweden, SE, 26–30 April 2014.
41. Wiechmann, Daniel & Kerz, Elma. 2013. "Formulaicity as a determinant of processing efficiency: Investigating clause ordering in complex constructions". ICAME 34 Workshop: Processing in corpora: "Support strategies in language variation and change". Santiago de Compostela, ES. 22–26 Mai 2013.
42. Wiechmann, Daniel, Steinfeld, Judith & Kerz, Elma. 2013. "Modeling bilingual children's acquisition of complex sentences in German". 35th Annual Conference of the Cognitive Science Society, Berlin, DE, 31 Juli – 3 August 2013.
43. Elma Kerz & Wiechmann, Daniel. 2013. "Learning cues for accurate L2 production: Determinants of clause order in complex sentences". 46th Annual Meeting of the Societas Linguistica Europaea. Split, HR 18–21 September 2013. 36 Elma Kerz & Wiechmann, Daniel. 2012. "Genre-specific properties of adverbial clauses in English academic writing and newspaper texts". 5th FLaRN Conference, Formulaic Language Research Network. Tilburg, NL, 28–30 März 2012.
44. Elma Kerz & Steinfeld, Judith. 2012. "The acquisition of complex sentence constructions by bilingual preschool children". 35th International LAUD Symposium: Cognitive Psycholinguistics: Bilingualism, Cognition and Communication, Landau, DE, 26–29 März 2012.
45. Elma Kerz & Wiechmann, Daniel. 2012. "Positioning of concessive adverbial clauses in English: Assessing the importance of discourse-pragmatic and processing-based constraints". 5th German Cognitive Linguistics Conference. Freiburg, DE, 10–12 Oktober 2012.
46. Elma Kerz & Steinfeld, Judith. 2012. "The acquisition of complex sentence constructions by bilingual preschool children". 5th German Cognitive Linguistics Conference. Freiburg, DE, 10-12 Oktober 2012.
47. Elma Kerz. 2012. "Concessive clauses in L2 academic writing". 5th German Cognitive Linguistics Conference, Freiburg, DE, 10-12 Oktober 2012.
48. Elma Kerz & Roth, Markus. 2012. "Concessive and reason adverbial clauses in English academic writing: A multifactorial approach". 4th International Conference on the Linguistics of Contemporary English. Osnabruück, DE, 19-23 Juli 2011.
49. Elma Kerz. 2011. "Concessive adverbial clauses in L2 academic writing". Learner Corpus Research: '20 Years of Learner Corpus Research: Looking back, Moving forward'. Louvain la Neuve, BE, 15-17 September 2011.
50. Elma Kerz. 2010. "How formulaic is the language of English print ads? Interdisciplinary Conference on Formulaic Language, 4th International FLaRN conference. Paderborn, DE, 23–26 März 2010.
51. Elma Kerz. 2010. "Genre considerations in information packaging: A corpus-based study". ICAME 31: Corpus Linguistics and Variation in English. Giessen, 26–30 Mai 2010.
52. Elma Kerz. 2010. "Questions in English print ads: A multifactorial analysis". 6th International Conference on Construction Grammar. Prague, CZ, 3–5 Oktober.
53. Elma Kerz. 2010. "A usage-based constructionist approach to polar questions in English". 4th International Conference of the German Cognitive Linguistics Association. Bremen, DE, 7–9 Oktober 2010.
54. Elma Kerz. 2010. "Competing factors in grammaticalization". 4th International Conference of the German Cognitive Linguistics Association. Bremen, DE, 7–9 Oktober 2010.
55. Elma Kerz. 2010. "Grammaticalization and low-level schemas: Moving along the syntax-lexicon continuum". International Conference on Grammaticalization and (Inter)Subjectification. Brüssel, BE, 11–13 November 2010.
56. Elma Kerz. 2009. "Grammaticalization of evidential constructions in English academic writing: A usage-based approach". Grammars in Construction(s), 3rd International AFLiCo Conference. Paris, FR, 27–29 Mai 2009.
57. Elma Kerz. 2009. "Adjectival resultative constructions in English print advertisements: A corpus-based constructionist approach". Grammars in Construction(s), 3rd International AFLiCo Conference. Paris, FR, 27–29 Mai 2009.
58. Elma Kerz. 2009. "Conceptualization of events in English academic texts: A Cognitive Grammar approach". 2nd Conference of the Swedish Association for Language and Cognition (SALC). Stockholm, SE, 10–12 Juni 2009.
59. Elma Kerz. 2009. "High-frequency verbs in English print advertisements: A corpus-based constructionist approach". 3rd International Conference on the Linguistics of Contemporary English (ICLCE3), London, UK, 14–17 Juli 2009
60. Elma Kerz. 2009. "Give your eyes the comfort they deserve: Imperative constructions in English print ads". Corpus Linguistics Conference. Liverpool, UK, 20–23 Juli 2009.
61. Elma Kerz. 2009. "Flexible formulaic sequences in English academic writing". 3rd International Conference 'Grammar & Corpora'. Mannheim, DE, 22–24 September 2009.
62. Elma Kerz. 2008. "Condensation strategies and information packaging in English academic texts". Inter- national Conference on Discourse and Grammar: Illocutionary force, information structure and subordination between discourse and grammar. Ghent, BE, 23–24 Mai 2008.
63. Elma Kerz & Meyer, Paul Georg. 2008. "NP be found/shown/seen/observed to VINF: Grammaticalization of evidentiality in the register of academic writing?". New Reflections on Grammaticalization 4 Conference. Leuven, BE, 16–19 Juli 2008.
64. Elma Kerz. 2008. "Register-specific partially lexically-filled constructions: A case study of the use of research verbs in academic texts". 3rd International Conference of the German Cognitive Linguistics Association. Leipzig, DE, 25–27 September 2008.
65. Elma Kerz. 2007. "The cognitive and pragmatic motivations for the use of nominalizations in academic texts". International Conference 'Publishing and Presenting Research Internationally: Issues for Speakers of English as an Additional Language'. La Laguna, Tenerifa, ES, 11–13 Januar 2007.
66. Elma Kerz & Haas, Florian. 2007. "The aim is to analyze NP: the function of prefabricated chunks in academic texts". UWM Linguistics Symposium on Formulaic Language. Milwaukee, WI, USA, 18–21 April 2007.
67. Elma Kerz & Haas, Florian. 2006. "English verbs and constructions: two case studies and some implications for a constructionist approach to Grammatical structure". Directions in English Language Studies (DELS) Conference. Manchester, UK, 6–8 2006.
68. Elma Kerz. 2006. "The interaction between register and constructional meaning: A case study of the use of constructions in the language of advertising". 2nd International Conference of the German Cognitive Linguistics Association, München, DE, 5–7 Oktober 2006.
69. Elma Kerz. 2005. "A construction grammar approach to the analysis of lexicogrammatical patterns in academic texts". Phraseology 2005 conference. Lovain-la-Neuve, BE, 13–15 Oktober 2005.
70. Elma Kerz. 2005. "Is the concept of entrenchment domain-specific?" 1st UK Cognitive Linguistics Conference. Brighton, UK, 23–25 Oktober 2005.

 

Organisation von Themensektionen auf internationalen Konferenzen

With Neal Snider (Nuance Communications), Daniel Wiechmann (RWTH Aachen) and Florian Jaeger (U Rochester, NY). Organisation der Themensektion Empirical Evaluations of Usage-Based Constructionist Models of Language Representation and Processing 2011 LSA Annual Meeting Organized Session, Pittsburgh, PA.