Wieling, Prof. Martijn
Martijn Wieling graduated cum laude with Master’s degrees in Computing Science and Behavioural Cognitive Neurosciences from the University of Groningen. His PhD research focused on applying quantitative methods to study dialectal differences. His research has brought dialectometry and sociolinguistics, which for a long time were regarded as separate scientific fields, closer together by making it possible to determine the interwoven impact of geography and social factors on dialect variation. Thanks to an NWO Rubicon grant, he has spent a year in Tübingen with Harald Baayen studying spoken dialect variation via articulography. With a subsequent Veni grant from NWO, he is now continuing his research in the Information Science department at the Faculty of Arts. He is using an articulography device (which measures the movement of tongue and lips) to study the English pronunciation of Dutch and German speakers. In this project, he is trying to find out how the tongue and lip movements of non-native speakers differ from those of native English speakers, and how visualizing these movements may help in improving the pronunciation of non-native speakers.
At the 2018 edition of the Lowlands festival, Wieling studied how people speak English after they have consumed alcohol in a project entitled Grenzeloos Lallen [boundless babble].
In 2014, Wieling was appointed as a new member of the Royal Netherlands Academy of Arts and Sciences' (KNAW) Young Academy. In May 2016 he was awarded the European Young Researchers Award.
Previously in the news
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Revealing the tip of the… tongue (article in BCN Newsletter, page 9)
-
Experience abroad with Rubicon (in Dutch)
Contact and further information
Publications
2023
Rebernik,
T., Tienkamp, T., Polsterer,
K., Hukker, V., Medvedeva,
M., van der Ploeg, M., Schepers,
I., Sekeres, H. G., de Vries,
W., Abur, D., Jonkers, R., Noiray,
A., & Wieling, M. (2023). 5-minute Formant
Adaptation Task in Dutch Children. In Proceedings of the
20th International Congress of Phonetic Sciences (ICPhS
2023)
Siewert,
J., Wieling, M., & Scherrer, Y. (2023).
Changing usage of Low Saxon auxiliary and modal verbs.
In Proceedings of the 4th International Workshop on
Computational Approaches to Historical Language Change
2023
de
Vries, W., Wieling, M., & Nissim,
M. (2023). DUMB: A Benchmark for Smart Evaluation of
Dutch Models. In Proceedings of the 2023 Conference on
Empirical Methods in Natural Language Processing https://arxiv.org/pdf/2305.13026.pdf
Buurke,
R. S. S. J., Bartelds, M., Knooihuizen,
R., & Wieling, M. (2023). Examining
maintenance and shift in regional language populations: the case of
Frisian and Low Saxon in the Netherlands. Manuscript
submitted for publication.
Meulman,
N., Sprenger, S., Schmid, M., &
Wieling, M. (2023). GAM-based individual difference
measures for L2 ERP studies. Research Methods in
Applied Linguistics, 2(3), Article 100079. https://doi.org/10.1016/j.rmal.2023.100079
Bartelds,
M., San, N., McDonnell, B., Jurafsky, D., &
Wieling, M. (2023). Making more of little data:
Improving low-resource automatic speech recognition using data
augmentation. In A. Rogers, J. Boyd-Graber, & N. Okazaki
(Eds.), Proceedings of the 61st Annual Meeting of the
Association for Computational Linguistics (Volume 1: Long
Papers) (Vol. 1, pp. 715-729). Association for Computational
Linguistics (ACL). https://doi.org/10.18653/v1/2023.acl-long.42
Schepers,
I., Medvedeva, M., Bruijn,
M., Wieling, M., & Vols, M.
(2023). Predicting citations in Dutch case law with natural
language processing. Artificial Intelligence and
Law. Advance online publication. https://doi.org/10.1007/s10506-023-09368-5
Buurke,
R. S. S. J., & Wieling, M. (2023).
Sound Change Estimation in Netherlandic Regional Languages:
Reducing Inter-Transcriber Variability in Dialect Corpora.
Taal en Tongval, 75(1), 7-28. https://doi.org/10.5117/tet2023.1.002.buur
Wieling,
M., Rebernik, T., & Jacobi, J.
(2023). SPRAAKLAB: a mobile laboratory for collecting speech
production data. In Proceedings of the 20th
International Congress of Phonetic Sciences (pp.
2060-2064)
Buurke,
R., Sekeres, H. G., Visser,
L., & Wieling, M. (2023).
Streektaalstrijd: een strategisch kennisspel over taal en
dialect. Wink Games.
2022
Lifelines
Corona Research initiative, Ori, A. P. S.,
Wieling, M., & van Loo, H. M. (2023).
Longitudinal analyses of depression, anxiety, and suicidal
ideation highlight greater prevalence in the northern Dutch
population during the COVID-19 lockdowns. Journal
of Affective Disorders, 323, 62-70. https://doi.org/10.1016/j.jad.2022.11.040
Medvedeva,
M., Wieling, M., & Vols, M.
(2023). Rethinking the field of automatic prediction of court
decisions. Artificial Intelligence and
Law, 31, 195–212. https://doi.org/10.1007/s10506-021-09306-3
Buurke,
R., Sekeres, H. G., Heeringa, W.,
Knooihuizen, R., & Wieling, M. (2022).
Aggregated sound change with respect to Standard Dutch in
the Northern Netherlands. Poster session presented at
11th International Conference on Language Variation in Europe -
ICLaVE|11.
Buurke,
R., Sekeres, H., Knooihuizen, R.,
Heeringa, W., & Wieling, M. (2022).
Aggregated sound change with respect to Standard Dutch in
the Northern Netherlands. Poster session presented at
2nd Conference on Frisian Humanities, Leeuwarden,
Netherlands.
Rousse-Malpat,
A., Steinkrauss, R., Wieling, M.,
& Verspoor, M. (2022). Communicative language teaching:
Structure-Based or Dynamic Usage-Based?
JESLA, 6(1), 20-33. https://doi.org/10.22599/jesla.86
Wieling,
M. (2022). Dialect digitaal: nieuwe kansen voor
streektaalgebruik en -onderzoek . (Inaugural Lectures).
University of Groningen Press. https://doi.org/10.21827/623d9a3b30793
Postma,
D. B. W., Wieling, M. B., Lemmink, K. A.
P. M., & Zaal, F. T. J. M. (2022).
Distance over Time in a Maximal Sprint: Understanding
Athletes' Action Boundaries in Sprinting.
ECOLOGICAL PSYCHOLOGY, 34(4),
133–156. https://doi.org/10.1080/10407413.2022.2120397
Buurke,
R., Sekeres, H. G., Heeringa, W.,
Knooihuizen, R., & Wieling, M. (2022).
Estimating the level and direction of aggregated sound change
of dialects in the Northern Netherlands. Taal en
Tongval, 74(2), 183-214. https://doi.org/10.5117/TET2022.2.002.BUUR
Siewert,
J., Scherrer, Y., & Wieling, M. (2022).
Low Saxon dialect distances at the orthographic and syntactic
level. In N. Tahmasebi, S. Montariol, A. Kutuzov, S.
Hengchen, H. Dubossarsky, & L. Borin (Eds.), LChange 2022 -
3rd International Workshop on Computational Approaches to
Historical Language Change 2022, Proceedings of the Workshop
(pp. 119-124). (LChange 2022 - 3rd International Workshop on
Computational Approaches to Historical Language Change 2022,
Proceedings of the Workshop). Association for Computational
Linguistics, ACL Anthology.
de
Vries, W., Wieling, M., & Nissim,
M. (2022). Make the Best of Cross-lingual Transfer:
Evidence from POS Tagging with over 100 Languages. In S.
Muresan, P. Nakov, & A. Villavicencio (Eds.), Proceedings
of the 60th Annual Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers) (pp. 7676-7685).
Association for Computational Linguistics (ACL).
Brouwer,
J., Buurke, R., van den Berg,
F., Loerts, H., Knooihuizen,
R., Wieling, M., & Keijzer, M.
(2022). Minority language happiness: The link between
social inclusion, well-being, and speaking Frisian in the Northern
Netherlands. Poster session presented at Cognitive
Aging Conference, 2022, Atlanta, GA, United States.
Brouwer,
J., Buurke, R., van den Berg,
F., Knooihuizen, R., Loerts,
H., Wieling, M., & Keijzer, M.
(2022). Minority language happiness: The link between
social inclusion, well-being, and speaking Frisian in the Northern
Netherlands. Poster session presented at ISBPAC - 4th
International Symposium on Bilingual and L2 Processing in Adults
and Children, Tromsø, Norway.
Bartelds,
M., de Vries, W., Sanal, F., Richter, C.,
Liberman, M., & Wieling, M. (2022). Neural
representations for modeling variation in speech.
Journal of Phonetics, 92, Article
101137. https://doi.org/10.1016/j.wocn.2022.101137
Tienkamp,
T., Rebernik, T., Halpern, B., Abur,
D., van Son, R., de Visscher, S., Witjes,
M., & Wieling, M. (2022).
Quantifying changes in articulatory working space
following oral cancer treatment. Poster session
presented at 8th International Conference on Speech Motor
Control.
Bartelds,
M., & Wieling, M. (2022). Quantifying
Language Variation Acoustically with Few Resources. In M.
Carpuat, M-C. de Marneffe, & I. V. Meza Ruiz (Eds.),
Proceedings of the 2022 Conference of the North American
Chapter of the Association for Computational Linguistics: Human
Language Technologies (pp. 3735-3741). Association for
Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.naacl-main.273
2021
Kliesch,
M., Pfenninger, S. E., Wieling, M., Stark, E., &
Meyer, M. (2022). Cognitive benefits of learning additional
languages in old adulthood? Insights from an intensive longitudinal
intervention study. Applied
Linguistics, 43(4), 653-676. https://doi.org/10.1093/applin/amab077
Rebernik,
T., Jacobi, J., Tiede, M., & Wieling,
M. (2021). Accuracy assessment of two electromagnetic
articulographs: NDI Wave and NDI Vox. Journal of
Speech, Language and Hearing Research, 64(7),
2637-2667. https://doi.org/10.1044/2021_JSLHR-20-00394
Vries,
W. D., Bartelds, M., Nissim,
M., & Wieling, M. (2021). Adapting
Monolingual Models: Data can be Scarce when Language Similarity is
High. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.),
Findings of the Association for Computational Linguistics:
ACL-IJCNLP 2021 (pp. 4901–4907). Association for
Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.findings-acl.433
Rebernik,
T., Jacobi, J., Jonkers, R.,
Noiray, A., & Wieling, M. (2021). A review
of data collection practices using electromagnetic
articulography. Laboratory Phonology,
12(1), Article 6. https://doi.org/10.5334/labphon.237
Medvedeva,
M., Dam, T., Wieling, M., & Vols,
M. (2021). Automatically identifying eviction cases
and outcomes within case law of Dutch Courts of First
Instance. In E. Schweighofer (Ed.), Legal Knowledge and
Information Systems (pp. 13-22). (Frontiers in Artificial
Intelligence and Applications; Vol. 346). IOS Press. https://doi.org/10.3233/FAIA210312
Medvedeva,
M., Üstün, A., Xu, X., Vols,
M., & Wieling, M. (2021). Automatic
judgement forecasting for pending applications of the European
Court of Human Rights. In K. D. Ashley, K. Atkinson, L. K.
Branting, E. Francesconi, M. Grabmair, V. R. Walker, B. Waltl,
& A. Zachary Wyner (Eds.), Proceedings of the Fifth
Workshop on Automatec Semantic Analysis of Information in Legal
Text (ASAIL 2021) (pp. 12-23). CEUR Workshop
Proceedings.
Nerbonne,
J., Heeringa, W., Prokic, J., & Wieling, M.
(2021). Dialectology for computational linguists. In
M. Zampieri, & P. Nakov (Eds.), Similar languages,
varieties, and dialects: A computational perspective (pp.
96-118). (Studies in Natural Language Processing). Cambridge
University Press.
Buurke,
R., Sekeres, H., Heeringa, W.,
Knooihuizen, R., & Wieling, M. (2021).
Estimating the Level and Direction of Phonetic Dialect
Change in the Northern Netherlands. arXiv.
van
Loo, H. M., Beijers, L., Wieling,
M., de Jong, T. R., Schoevers, R. A.,
& Kendler, K. S. (2021). Prevalence of
internalizing disorders, symptoms, and traits across age using
advanced nonlinear models. Psychological
Medicine, 53(1), 78-87. https://doi.org/10.1017/S0033291721001148
2020
Wieling,
M., Tiede, M., Rebernik, T., de Jong, L.,
Braggaar, A., Bartelds, M., Medvedeva,
M., Heisterkamp, P., Freire Offrede, T.,
Sekeres, H., Pot, A., Ploeg, van der,
M., Volkers, K., & Mills, G. (2021).
A novel paradigm to investigate phonetic convergence in
interaction. In M. Tiede, D. H. Whalen, & V. Gracco
(Eds.), Proceedings of the 12th International Seminar on Speech
Production (pp. 1-4). Haskins Press.
Jacobi,
J., Rebernik, T., Jonkers,
R., Maassen, B., Proctor, M., &
Wieling, M. (2021). Characterizing tongue tremor in
Parkinson’s disease using EMA. In M. Tiede, D. H.
Whalen, & V. Gracco (Eds.), Proceedings of the 12th
International Seminar on Speech Production (pp. 80-83).
Haskins Press.
Rebernik,
T., Jacobi, J., Jonkers, R.,
Noiray, A., & Wieling, M. (2021).
Experimental approaches in electromagnetic
articulography. In M. Tiede, D. H. Whalen, & V. Gracco
(Eds.), Proceedings of the 12th International Seminar on Speech
Production (pp. 5-8). Haskins Press.
Bartelds,
M., Vries, de, W., Richter, C., Liberman,
M., & Wieling, M. (2021). Measuring foreign
accent strength using an acoustic distance measure. In M.
Tiede, D. H. Whalen, & V. Gracco (Eds.), Proceedings of the
12th International Seminar on Speech Production (pp. 17-20).
Haskins Press.
Offrede,
T. F., Jacobi, J., Rebernik, T., de Jong,
L., Keulen, S., Veenstra, P., Noiray,
A., & Wieling, M. (2021). The Impact of
Alcohol on L1 versus L2. Language and
speech, 64(3), 681-692. https://doi.org/10.1177/0023830920953169
de
Jong, L., Rebernik, T., Vaziri, S., &
Wieling, M. (2021). Using ultrasound tongue imaging to
improve L2 English pronunciation in Dutch students. In M.
Tiede, D. H. Whalen, & V. Gracco (Eds.), Proceedings of the
12th International Seminar on Speech Production (pp. 60-63).
Haskins Press.
Janić,
M., Rebernik, T., Veenstra, P., Wissink,
E., Wieling, M., & Proctor, M. (2021). Vowel
production in congenitally blind and sighted Australian English
speakers. In M. Tiede, D. H. Whalen, & V. Gracco (Eds.),
Proceedings of the 12th International Seminar on Speech
Production (pp. 91-95). Haskins Press.
Medvedeva,
M., Xu, X., Wieling, M., & Vols,
M. (2020). JURI SAYS: An Automatic Judgement
Prediction System for the European Court of Human Rights. In
S. Villata, J. Harašta, & P. Křemen (Eds.), Legal
Knowledge and Information Systems: JURIX 2020: The Thirty-third
Annual Conference, Brno, Czech Republic, December 9–11,
2020 (pp. 277-280). (Frontiers in Artificial Intelligence and
Applications; Vol. 334). IOS Press. https://doi.org/10.3233/FAIA200883
Siewert,
J., Scherrer, Y., Wieling, M., & Tiedemann, J.
(2020). LSDC - A comprehensive dataset for Low Saxon Dialect
Classification. In M. Zampieri, P. Nakov, N.
Ljubešić, J. Tiedemann, & Y. Scherrer (Eds.),
Proceedings of the 7th Workshop on NLP for Similar Languages,
Varieties and Dialects (pp. 25-35). International Committee on
Computational Linguistics (ICCL).
2019
Bartelds,
M., Richter, C., Liberman, M., & Wieling,
M. (2020). A New Acoustic-Based Pronunciation Distance
Measure. Frontiers in Artificial
Intelligence, 3, Article 39. https://doi.org/10.3389/frai.2020.00039
Medvedeva,
M., Vols, M., & Wieling, M.
(2020). Using machine learning to predict decisions of the
European Court of Human Rights. Artificial
Intelligence and Law, 28(2), 237-266. https://doi.org/10.1007/s10506-019-09255-y
Rousse-Malpat,
A., Steinkrauss, R., Wieling,
M., & Verspoor, M. (2019). Effecten
van typen instructie en hoeveelheid doeltaal in de klas voor het
vak Frans in de onderbouw. Levende Talen
Tijdschrift, 20(2), 16-26. http://www.lt-tijdschriften.nl/ojs/index.php/ltt/article/view/1941
Jacobi,
J., Rebernik, T., Jonkers,
R., Maassen, B., Proctor, M., &
Wieling, M. (2019). The Effect of Levodopa on Vowel
Articulation in Parkinson's Disease: A Cross-Linguistic
Study. In S. Calhoun et al. (Ed.), Proceedings of the
19th International Congress of Phonetic Sciences, Melbourne,
Australia 2019 (pp. 1069-1073). Australasian Speech Science
and Technology Association Inc..
Wieling,
M., Blankevoort, G., Hukker, V., Jacobi,
J., Jong, de, L., Keulen, S., Medvedeva,
M., Ploeg, van der, M., Pot,
A., Rebernik, T., Veenstra, P.,
& Noiray, A. (2019). The influence of alcohol on L1 vs.
L2 pronunciation. In Proceedings of the 19th
International Congress of Phonetic Sciences, Melbourne, Australia
2019 (pp. 3622-3626). Australasian Speech Science and
Technology Association Inc..
2018
Verspoor,
M., Lowie, W., & Wieling, M.
(2021). L2 developmental measures from a dynamic
perspective. In B. LeBruyn, & M. Paquot (Eds.),
Learner Corpora Researchs Meets Second Language
Acquisition (pp. 172-190). (Cambridge Applied Linguistics).
Cambridge University Press. https://doi.org/10.1017/9781108674577.009
Noiray,
A., Wieling, M., Abakarova, D., Rubertus, E., &
Tiede, M. (2019). Back from the future: Nonlinear
anticipation in adults and children's speech.
Journal of Speech Language and Hearing
Research, 62(8S), 3033-3054. https://doi.org/10.1044/2019_JSLHR-S-CSMC7-18-0208
Wieling,
M. (2018). Analyzing dynamic phonetic data using
generalized additive mixed modeling: a tutorial focusing on
articulatory differences between L1 and L2 speakers of
English. Journal of Phonetics,
70, 86-116. https://doi.org/10.1016/j.wocn.2018.03.002
Wieling,
M., Valls, E., Baayen, R. H., & Nerbonne,
J. (2018). Border effects among Catalan
dialects. In D. Speelman, K. Heylen, & D. Geeraerts
(Eds.), Mixed Effects Regression Models in Linguistics
(pp. 71-97). (Quantitative Methods in the Humanities and Social
Sciences). Springer. https://doi.org/10.1007/978-3-319-69830-4_5
Medvedeva,
M., Vols, M., & Wieling, M.
(2018). Judicial decisions of the European Court of Human
Rights: looking into the crystall ball. In Proceedings
of the Conference on Empirical Legal Studies in Europe
2018
Toral
Ruiz, A., Wieling, M., & Way, A. (2018).
Post-editing effort of a novel with statistical and neural
machine translation. Frontiers in Digital
Humanities, 5, 1-11. Article 9. https://doi.org/10.3389/fdigh.2018.00009
Wieling,
M., Rawee, J., & van Noord, G. (2018).
Reproducibility in Computational Linguistics: Are We Willing
to Share? Computational Linguistics,
44(4), 641-649. https://doi.org/10.1162/coli_a_00330
Nerbonne,
J., & Wieling, M. (2018). Statistics
for Aggregate Variationist Analyses. In C. Boberg, J.
Nerbonne, & D. Watt (Eds.), The Handbook of
Dialectology (pp. 400-414). (Blackwell Handbooks in
Linguistics). Wiley-Blackwell. https://doi.org/10.1002/9781118827628.ch23
Veenstra,
P., Everhardt, M. K., & Wieling,
M. (2018). Vision deprived language acquisition:
Vowel production and ASR efficacy. Poster session
presented at LabPhon 2018, Lisbon, Portugal.
2017
Jas,
E., & Wieling, M. (2018). Providers'
competencies positively affect personal recovery of involuntarily
admitted patients with severe mental illness: A prospective
observational study. International journal of
social psychiatry, 64(2), 145-155. https://doi.org/10.1177/0020764017749864
Wieling,
M., Sivaraman, G., & Espy-Wilson, C. (2017).
Analysis of acoustic-to-articulatory speech inversion across
different accents and languages. In Proceedings of
Interspeech (pp. 974-978)
Wieling,
M., Veenstra, J., Adank, P., & Tiede, M.
(2017). Articulatory differences between L1 and L2 speakers
of English. In Proceedings of the 11th International
Seminar on Speech Production
Wieling,
M., Veenstra, J., Adank, P., & Tiede, M.
(2017). Articulatory differences between L1 and L2
speakers of English. Poster session presented at 7th
International Conference on Speech Motor Control, Groningen,
Netherlands.
Veenstra,
J., & Wieling, M. (2017).
Automatic Speech Recognition (ASR) efficacy for
congenitally blind vs. sighted speech. Poster session
presented at TABU Dag , Groningen, Netherlands.
Veenstra,
J., Wieling, M., & Horst, C. (2017).
Automatic Speech Recognition (ASR) software efficacy for
congenitally blind vs. sighted speech. Poster session
presented at 7th International Conference on Speech Motor Control,
Groningen, Netherlands.
Veenstra,
J., Wieling, M., & Horst, C. (2017).
Efficacy of ASR software for congenitally blind speakers
(poster prize). Poster session presented at
Anéla/VIOT Juniorendag 2017, Utrecht, Netherlands.
Veenstra,
J., Wieling, M., & Horst, C. (2017).
Efficacy of automatic speech recognition software for
congenitally blind speakers. Poster session presented
at 12th International Conference by the International Society for
Low Vision Research and Rehabilitation, The Hague,
Netherlands.
Veenstra,
J., Wieling, M., & Horst, C. (2017).
Efficacy of Automatic Speech Recognition software for
congenitally blind speakers. Poster session presented
at 5th International Winterschool Speech production and perception,
Chorin, Germany.
Wieling,
M., & Montemagni, S. (2017). Exploring the role of
extra-linguistic factors in defining dialectal variation patterns
through cluster comparison. In From Semantics to
Dialectometry: Festschrift in honor of John Nerbonne (pp.
241-251, chapter 25). (Tributes; Vol. 32). College
Publications.
Arantzeta
Perez, M., Bastiaanse, Y., Burchert, F.,
Wieling, M., Martinez Zabaleta, M., & Laka, I. (2017).
Eye-tracking the effect of word order in sentence
comprehension in aphasia: Evidence from Basque, a free word order
ergative language. Language, Cognition and
Neuroscience, 32(10). https://doi.org/10.1080/23273798.2017.1344715
Wieling,
M., Kroon, M., van Noord, G., &
Bouma, G. (Eds.) (2017). From Semantics to
Dialectometry: Festschrift in honor of John Nerbonne.
(Tributes; Vol. 32). College Publications. http://www.let.rug.nl/festschriftnerbonne/fest.pdf
Berends,
S., Wieling, M., Sprenger, S.,
Brouwer, S., & Schmid, M. (2017). How to analyse age
effects in electrophysiological signatures of second language
grammar processing. Poster session presented at COM
2017, Groningen, Netherlands.
Cimino,
A., Wieling, M., Dell'Orletta, F., Montemagni, S.,
& Venturi, G. (2017). Identifying Predictive Features for
Textual Genre Classification: the Key Role of Syntactic
Features. In R. Basili, M. Nissim, & G. Satta (Eds.),
Proceedings of the Fourth Italian Conference on Computational
Linguistics (CLiC-it 2017 ) (CEUR Workshop Proceedings; Vol.
2006).
Gulbinaite,
R., van Viegen, T., Wieling, M., Cohen, M., &
vanRullen, R. (2017). Individual alpha peak frequency
predicts 10 Hz flicker effects on selective attention.
The Journal of Neuroscience, 37(42),
10173-10184. https://doi.org/10.1523/JNEUROSCI.1163-17.2017
Wieling,
M. (2017). Martin & Emma investigate the Dutch
dialect landscape. KNAW, Amsterdam.
Milito,
L., Wieling, M., & Montalto, R. (2017).
Martin & Emma onderzoeken het Nederlandse
dialectlandschap. De Jonge Akademie. http://www.martijnwieling.nl/strip
Stec,
K., Huiskes, M., Wieling, M., &
Redeker, G. (2017). Multimodal character viewpoint in
quoted dialogue sequences. Glossa: a journal of
general linguistics, 2(1), Article 39. https://doi.org/10.5334/gjgl.255
Nissim,
M., Abzianidze, L., Evang, K., van der Goot,
R., Haagsma, H., Plank, B., & Wieling, M. (2017).
Sharing is Caring: The Future of Shared Tasks.
Computational Linguistics, 43(4),
897-904. https://doi.org/10.1162/COLI_a_00304
Kulmizev,
A., Blankers, B., Bjerva, J., Nissim, M., van
Noord, G., Plank, B., & Wieling, M. (2017).
The Power of Character N-grams in Native Language
Identification. In The 12th Workshop on Innovative Use
of NLP for Building Educational Applications: Proceedings of the
Workshop (pp. 382-389). Association for Computational
Linguistics (ACL).
Wieling,
M. (2017, Aug). Young Scientist Wetenschapskalender
2018. Veen Media.
2016
Irshad,
F. M., Keijzer, M., Wieling, M., &
Verspoor, M. (2019). Effectiveness of a dynamic usage based
computer assisted language program. Dutch Journal
of Applied Linguistics, 8(2), 137-162. https://doi.org/10.1075/dujal.16018.irs
Sun,
H., Steinkrauss, R., Wieling, M.,
& de Bot, C. (2018). Individual differences in
very young Chinese children’s English vocabulary breadth and
semantic depth: Internal and external factors.
International Journal of Bilingual Education and
Bilingualism, 21(4), 405-425. https://doi.org/10.1080/13670050.2016.1178706
Wieling,
M., & Tiede, M. (2017). Quantitative
identification of dialect-specific articulatory settings.
Journal of the Acoustical Society of America,
142(1), 389-394. https://doi.org/10.1121/1.4990951
Wieling,
M., Sassolini, E., Cucurullo, N., & Montemagni, S.
(2016). ALT Explored: Integrating an online dialectometric
tool and an online dialect atlas. In Proceedings of LREC
2016 (pp. 3265-3272). http://www.lrec-conf.org/proceedings/lrec2016/pdf/934_Paper.pdf
Veenstra,
J., Wieling, M., & Horst, C. (2016).
Effectiviteit van spraakherkenningssoftware bij blinde
sprekers. Poster session presented at Inzicht
Ontmoetingsdag 2016, Ermelo, Netherlands.
Bodo,
W., & Wieling, M. (2016). How to analyze
linguistic change using mixed models, Growth Curve Analysis and
Generalized Additive Modeling. Journal of Language
Evolution, 1(1), 7-18. https://doi.org/10.1093/jole/lzv003
Wieling,
M., Tomaschek, F., Arnold, D., Tiede, M., Bröker, F.,
Thiele, S., Wood, S., & Baayen, R. H. (2016).
Investigating dialectal differences using
articulography. Journal of Phonetics,
59, 122-143. https://doi.org/10.1016/j.wocn.2016.09.004
James,
K., & Wieling, M. (2016). Read my points:
Effect of animation type when speech-reading from EMA data.
In Proceedings of the 14th SIGMORPHON Workshop on Computational
Research in Phonetics, Phonology, and Morphology, August 2016,
Berlin, Germany (pp. 87-92). Association for Computational
Linguistics (ACL).
2015
Bloem,
J., Wieling, M., & Nerbonne, J.
(2016). Automatically identifying characteristic features of
non-native English accents. In M-H. Côté, R.
Knooihuizen, & J. Nerbonne (Eds.), The Future of Dialects:
selected papers from Methods in Dialectology XV (pp. 155-172).
Language Science Press. http://langsci-press.org/catalog/view/81/78/367-1
Wieling,
M., & Montemagni, S. (2016). Infrequent forms:
noise or not? In M-H. Côté, R. Knooihuizen, &
J. Nerbonne (Eds.), The Future of Dialects: selected papers
from Methods in Dialectology XV (pp. 215-224). Language
Science Press. http://langsci-press.org/catalog/view/81/78/367-1
Montemagni,
S., & Wieling, M. (2016). Tracking
linguistic features underlying lexical variation patterns: A case
study on Tuscan dialects. In M-H. Côté, R.
Knooihuizen, & J. Nerbonne (Eds.), The Future of Dialects:
selected papers from Methods in Dialectology XV (pp. 117-134).
Language Science Press. http://langsci-press.org/catalog/view/81/78/367-1
Wieling,
M., Grieve, J., Bouma, G., Fruehwald, J.,
Coleman, J., & Liberman, M. (2016). Variation and change
in the use of hesitation markers in Germanic languages.
Language Dynamics and Change, 199-234. http://martijnwieling.nl/files/WielingGrieveEtAl-revised.pdf
Meulman,
N., Wieling, M., Sprenger, S. A.,
Stowe, L. A., & Schmid, M. S. (2015). Age effects in L2
grammar processing as revealed by ERPs and how (not) to study
them. PLoS ONE, 10(12),
Article e0143328. https://doi.org/10.1371/journal.pone.0143328
Wieling,
M., Veenstra, P., Adank, P., Weber, A., &
Tiede, M. (2015). Comparing L1 and L2 speakers using
articulography. In Proceedings of ICPhS 2015
Article 0551 International Phonetic Association. https://www.internationalphoneticassociation.org/icphs-proceedings/ICPhS2015/Papers/ICPHS0551.pdf
Wieling,
M., Veenstra, P., Adank, P., Weber, A., &
Tiede, M. (2015). Comparing L1 and L2 speakers using
articulography. Poster session presented at ICPhS 2015,
Glasgow, Glasgow, United Kingdom. http://martijnwieling.nl/files/SLA-ICPHS.pdf
Wieling,
M., Bloem, J., Baayen, R. H., & Nerbonne,
J. (2015). Determinants of English accents. In
Proceedings of QITL-6 Universität Tübingen. https://doi.org/10.15496/publikation-8628
Wieling,
M., Tomaschek, F., Arnold, D., & Tiede, M. (2015).
Investigating dialectal differences using
articulography. In Proceedings of ICPhS 2015
Article 0231 International Phonetic Association. https://www.internationalphoneticassociation.org/icphs-proceedings/ICPhS2015/Papers/ICPHS0231.pdf
Wieling,
M., Tomaschek, F., Arnold, D., Tiede, M., & Baayen, R.
H. (2015). Investigating dialectal differences using
articulography.. Poster session presented at ICPhS
2015, Glasgow, Glasgow, United Kingdom. http://martijnwieling.nl/files/Poster-ICPhS-2015.png
van
Rij, J., Wieling, M., Baayen, R. H.,
& van Rijn, D. (2015). itsadug: Interpreting Time
Series and Autocorrelated Data Using GAMMs.
Groenewold,
R., Bastiaanse, R., Nickels, L., Wieling,
M., & Huiskes, M. (2015). The
differential effects of direct and indirect speech on discourse
comprehension in Dutch and English listeners with and without
aphasia. Aphasiology, 29(6),
685-704. https://doi.org/10.1080/02687038.2014.977217
Bastiaanse,
Y., Wieling, M., & Wolthuis, N. (2015).
The role of frequency in the retrieval of nouns and verbs in
aphasia. Aphasiology, 30(11),
1221-1239. https://doi.org/10.1080/02687038.2015.1100709
2014
Wieling,
M., & Nerbonne, J. (2015). Advances
in dialectometry. Annual Review of
Linguistics, 1, 243-264. https://doi.org/10.1146/annurev-linguist-030514-124930
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