Martijn Wieling

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John NerbonneCLCG, University of GroningenVerified email at rug.nl
Harald BaayenProfessor of Quantitative Linguistics, University of TuebingenVerified email at uni-tuebingen.de
Masha MedvedevaLeiden UniversityVerified email at law.leidenuniv.nl
Michel VolsProfessor of law, University of GroningenVerified email at rug.nl
Teja RebernikPhD candidate, University of GroningenVerified email at rug.nl
Simonetta MontemagniDirector of Research, Istituto di Linguistica Computazionale (ILC-CNR)Verified email at ilc.cnr.it
Martijn BarteldsPostdoctoral Scholar, Stanford UniversityVerified email at stanford.edu
Aude Noiray, PhD (HDR/Habil.)LPNC (UGA)Verified email at univ-grenoble-alpes.fr
Wietse de VriesPostdoc, University of GroningenVerified email at rug.nl
Malvina NissimProfessor of Computational Linguistics and Society, Rijksuniversiteit GroningenVerified email at rug.nl
Roel JonkersVerified email at rug.nl
Mark LibermanProfessor, University of PennsylvaniaVerified email at cis.upenn.edu
Monika S. SchmidProfessor of Linguistics, University of YorkVerified email at york.ac.uk
Jelke BloemUniversity of AmsterdamVerified email at uva.nl
Roelien BastiaanseFull professor NeurolinguisticsVerified email at rug.nl
Fabian TomaschekUniversity of TübingenVerified email at freenet.de
Hedderik van RijnUniversity of GroningenVerified email at rug.nl
Simone A. SprengerUniversity of GroningenVerified email at rug.nl
Gertjan van Noordprofessor of language technology, University of GroningenVerified email at rug.nl
Caitlin RichterReykjavík UniversityVerified email at ru.is

Martijn Wieling

Professor (by S.A.) of Low Saxon / Groningen Language and Culture, University of Groningen

Verified email at rug.nl - Homepage

Speech production Statistics Language variation Dialectometry Corpus Linguistics


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itsadug: Interpreting time series and autocorrelated data using gamms J van Rij, M Wieling, RH Baayen, H van Rijn R package version 2, 2016	652	2016
Using machine learning to predict decisions of the European Court of Human Rights M Medvedeva, M Vols, M Wieling Artificial Intelligence and Law 28 (2), 237-266, 2020	412	2020
Analyzing dynamic phonetic data using generalized additive mixed modeling: a tutorial focusing on articulatory differences between L1 and L2 speakers of English M Wieling Journal of Phonetics 70, 86-116, 2018	403	2018
The impact of online video lecture recordings and automated feedback on student performance MB Wieling, WHA Hofman Computers & Education 54 (4), 992-998, 2010	329	2010
Quantitative social dialectology: Explaining linguistic variation geographically and socially M Wieling, J Nerbonne, RH Baayen PloS one 6 (9), e23613, 2011	212	2011
How to analyze linguistic change using mixed models, Growth Curve Analysis and Generalized Additive Modeling B Winter, M Wieling Journal of Language Evolution 1 (1), 7-18, 2016	187	2016
Post-editing effort of a novel with statistical and neural machine translation A Toral, M Wieling, A Way Frontiers in Digital Humanities, 9, 2018	157	2018
Advances in dialectometry M Wieling, J Nerbonne Annu. Rev. Linguist. 1 (1), 243-264, 2015	142	2015
Individual alpha peak frequency predicts 10 Hz flicker effects on selective attention R Gulbinaite, T van Viegen, M Wieling, MX Cohen, R VanRullen Journal of Neuroscience, 1163-17, 2017	107	2017
Investigating dialectal differences using articulography M Wieling, F Tomaschek, D Arnold, M Tiede, F Bröker, S Thiele, SN Wood, ... Journal of Phonetics 59, 122-143, 2016	98	2016
Inducing a measure of phonetic similarity from pronunciation variation M Wieling, E Margaretha, J Nerbonne Journal of Phonetics 40 (2), 307-314, 2012	97	2012
The role of frequency in the retrieval of nouns and verbs in aphasia R Bastiaanse, M Wieling, N Wolthuis Aphasiology 30 (11), 1221-1239, 2016	95	2016
Variation and change in the use of hesitation markers in Germanic languages M Wieling, J Grieve, G Bouma, J Fruehwald, J Coleman, M Liberman Language Dynamics and Change 6 (2), 199-234, 2016	95	2016
Lexical differences between Tuscan dialects and standard Italian: Accounting for geographic and socio-demographic variation using generalized additive mixed modeling M Wieling, S Montemagni, J Nerbonne, RH Baayen Language, 2015	94	2015
Evaluating the pairwise string alignment of pronunciations M Wieling, J Prokić, J Nerbonne Proceedings of the EACL 2009 Workshop on Language Technology and Resources …, 2009	90	2009
Rethinking the field of automatic prediction of court decisions M Medvedeva, M Wieling, M Vols Artificial Intelligence and Law 31 (1), 195-212, 2023	89	2023
Age effects in L2 grammar processing as revealed by ERPs and how (not) to study them N Meulman, M Wieling, SA Sprenger, LA Stowe, MS Schmid PloS one 10 (12), e0143328, 2015	88	2015
Bipartite spectral graph partitioning for clustering dialect varieties and detecting their linguistic features M Wieling, J Nerbonne Computer Speech & Language 25 (3), 700-715, 2011	88	2011
Reproducibility in computational linguistics: are we willing to share? M Wieling, J Rawee, G van Noord Computational Linguistics 44 (4), 641-649, 2018	69	2018
A Quantitative Approach to Socal and Geographical Dialect Variation M Wieling Rijksuniversiteit Groningen, 2012	68	2012

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