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ORCIDMartijn Wieling 0001
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- affiliation: University of Groningen, Faculty of Arts, Center for Language and Cognition, The Netherlands
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2020 – today
- 2024
[j17]Iris Schepers
, Masha Medvedeva, Michelle Bruijn, Martijn Wieling, Michel Vols:
Predicting citations in Dutch case law with natural language processing. Artif. Intell. Law 32(3): 807-837 (2024)- [i12]M. Mohammadi, L. M. Bruijn, Martijn Wieling, Michel Vols:
Combining topic modelling and citation network analysis to study case law from the European Court on Human Rights on the right to respect for private and family life. CoRR abs/2401.16429 (2024) - [i11]Bence Mark Halpern, Thomas Tienkamp, Wen-Chin Huang, Lester Phillip Violeta, Teja Rebernik, Sebastiaan A. H. J. de Visscher, Max J. H. Witjes, Martijn Wieling, Defne Abur, Tomoki Toda:
Quantifying the effect of speech pathology on automatic and human speaker verification. CoRR abs/2406.06208 (2024) - [i10]Mohammad Mohammadi, Martijn Wieling, Michel Vols:
An explainable approach to detect case law on housing and eviction issues within the HUDOC database. CoRR abs/2410.02978 (2024) - 2023
- [j16]Masha Medvedeva, Martijn Wieling, Michel Vols:
Rethinking the field of automatic prediction of court decisions. Artif. Intell. Law 31(1): 195-212 (2023) - [c27]Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling:
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation. ACL (1) 2023: 715-729 - [c26]Wietse de Vries, Martijn Wieling, Malvina Nissim:
DUMB: A Dutch Model Benchmark. EMNLP 2023: 7221-7241 - [i9]Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling:
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation. CoRR abs/2305.10951 (2023) - [i8]Wietse de Vries, Martijn Wieling, Malvina Nissim:
DUMB: A Benchmark for Smart Evaluation of Dutch Models. CoRR abs/2305.13026 (2023) - 2022
- [j15]Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Y. Liberman, Martijn Wieling:
Neural representations for modeling variation in speech. J. Phonetics 92: 101137 (2022) - [c25]Wietse de Vries, Martijn Wieling, Malvina Nissim:
Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages. ACL (1) 2022: 7676-7685 - [c24]Janine Siewert, Yves Scherrer, Martijn Wieling:
Low Saxon dialect distances at the orthographic and syntactic level. LChange@ACL 2022: 119-124 - [c23]Martijn Bartelds, Martijn Wieling:
Quantifying Language Variation Acoustically with Few Resources. NAACL-HLT 2022: 3735-3741 - [i7]Bence Mark Halpern, Teja Rebernik, Thomas Tienkamp, Rob van Son, Michiel W. M. van den Brekel, Martijn Wieling, Max J. H. Witjes, Odette Scharenborg:
Manipulation of oral cancer speech using neural articulatory synthesis. CoRR abs/2203.17072 (2022) - [i6]Martijn Bartelds, Martijn Wieling:
Quantifying Language Variation Acoustically with Few Resources. CoRR abs/2205.02694 (2022) - [i5]Thomas B. Tienkamp, Teja Rebernik, Defne Abur, Rob J. J. H. van Son, Sebastiaan A. H. J. de Visscher, Max J. H. Witjes, Martijn Wieling:
Preregistered protocol for: Articulatory changes in speech following treatment for oral or oropharyngeal cancer: a systematic review. CoRR abs/2209.06521 (2022) - 2021
- [c22]Wietse de Vries, Martijn Bartelds, Malvina Nissim, Martijn Wieling:
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High. ACL/IJCNLP (Findings) 2021: 4901-4907 - [c21]Masha Medvedeva, Ahmet Üstün, Xiao Xu, Michel Vols, Martijn Wieling:
Automatic Judgement Forecasting for Pending Applications of the European Court of Human Rights. ASAIL/LegalAIIA@ICAIL 2021: 12-23 - [c20]Masha Medvedeva, Thijmen Dam, Martijn Wieling, Michel Vols:
Automatically Identifying Eviction Cases and Outcomes Within Case Law of Dutch Courts of First Instance. JURIX 2021: 13-22 - [i4]Wietse de Vries, Martijn Bartelds, Malvina Nissim, Martijn Wieling:
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High. CoRR abs/2105.02855 (2021) - [i3]Raoul Buurke, Hedwig Sekeres, Wilbert Heeringa, Remco Knooihuizen, Martijn Wieling:
Estimating the Level and Direction of Phonetic Dialect Change in the Northern Netherlands. CoRR abs/2110.07918 (2021) - 2020
- [j14]Masha Medvedeva, Michel Vols, Martijn Wieling:
Using machine learning to predict decisions of the European Court of Human Rights. Artif. Intell. Law 28(2): 237-266 (2020) - [j13]Martijn Bartelds, Caitlin Richter, Mark Y. Liberman, Martijn Wieling:
A New Acoustic-Based Pronunciation Distance Measure. Frontiers Artif. Intell. 3: 39 (2020) - [c19]Masha Medvedeva, Xiao Xu, Martijn Wieling, Michel Vols:
JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights. JURIX 2020: 277-280 - [c18]Janine Siewert, Yves Scherrer, Martijn Wieling, Jörg Tiedemann:
LSDC - A comprehensive dataset for Low Saxon Dialect Classification. VarDial@COLING 2020: 25-35 - [i2]Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Y. Liberman, Martijn Wieling:
Neural Representations for Modeling Variation in English Speech. CoRR abs/2011.12649 (2020) - [i1]Masha Medvedeva, Martijn Wieling, Michel Vols:
The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems. CoRR abs/2012.10301 (2020)
2010 – 2019
- 2018
- [j12]Martijn Wieling, Josine Rawee, Gertjan van Noord:
Reproducibility in Computational Linguistics: Are We Willing to Share? Comput. Linguistics 44(4) (2018) - [j11]Antonio Toral, Martijn Wieling, Andy Way:
Post-editing Effort of a Novel With Statistical and Neural Machine Translation. Frontiers Digit. Humanit. 5: 9 (2018) - [j10]Martijn Wieling:
Analyzing dynamic phonetic data using generalized additive mixed modeling: A tutorial focusing on articulatory differences between L1 and L2 speakers of English. J. Phonetics 70: 86-116 (2018) - [c17]Antonio Toral, Martijn Wieling, Sheila Castilho, Joss Moorkens, Andy Way:
Project PiPeNovel: Pilot on Post-editing Novels. EAMT 2018 - 2017
- [j9]Malvina Nissim, Lasha Abzianidze, Kilian Evang, Rob van der Goot, Hessel Haagsma, Barbara Plank, Martijn Wieling:
Sharing Is Caring: The Future of Shared Tasks. Comput. Linguistics 43(4) (2017) - [c16]Artur Kulmizev, Bo Blankers, Johannes Bjerva, Malvina Nissim, Gertjan van Noord, Barbara Plank, Martijn Wieling:
The Power of Character N-grams in Native Language Identification. BEA@EMNLP 2017: 382-389 - [c15]Andrea Cimino, Martijn Wieling, Felice Dell'Orletta, Simonetta Montemagni, Giulia Venturi:
Identifying Predictive Features for Textual Genre Classification: the Key Role of Syntax. CLiC-it 2017 - [c14]Ganesh Sivaraman, Carol Y. Espy-Wilson, Martijn Wieling:
Analysis of Acoustic-to-Articulatory Speech Inversion Across Different Accents and Languages. INTERSPEECH 2017: 974-978 - 2016
- [j8]Martijn Wieling, Fabian Tomaschek, Denis Arnold, Mark Tiede, Franziska Bröker, Samuel T. Thiele, Simon N. Wood, R. Harald Baayen:
Investigating dialectal differences using articulography. J. Phonetics 59: 122-143 (2016) - [c13]Martijn Wieling, Eva Sassolini, Sebastiana Cucurullo, Simonetta Montemagni:
ALT Explored: Integrating an Online Dialectometric Tool and an Online Dialect Atlas. LREC 2016 - [c12]Kristy James, Martijn Wieling:
Read my points: Effect of animation type when speech-reading from EMA data. SIGMORPHON 2016: 87-92 - 2015
- [c11]Martijn Wieling, Fabian Tomaschek, Denis Arnold, Mark Tiede, R. Harald Baayen:
Investigating dialectal differences using articulography. ICPhS 2015 - [c10]Martijn Wieling, Pauline Veenstra, Patti Adank, Andrea Weber, Mark Tiede:
Comparing L1 and L2 speakers using articulography. ICPhS 2015 - 2014
- [j7]Martijn Wieling, Clive Upton, Ann Thompson:
Analyzing the BBC Voices data: Contemporary English dialect areas and their characteristic lexical variants. Lit. Linguistic Comput. 29(1): 107-117 (2014) - [c9]Felice Dell'Orletta, Martijn Wieling, Giulia Venturi, Andrea Cimino, Simonetta Montemagni:
Assessing the Readability of Sentences: Which Corpora and Features? BEA@ACL 2014: 163-173 - 2013
- [j6]Martijn Wieling, Robert G. Shackleton Jr., John Nerbonne:
Analyzing phonetic variation in the traditional English dialects: Simultaneously clustering dialects and phonetic features. Lit. Linguistic Comput. 28(1): 31-41 (2013) - [j5]Esteve Valls, Martijn Wieling, John Nerbonne:
Linguistic advergence and divergence in north-western Catalan: A dialectometric investigation of dialect leveling and border effects. Lit. Linguistic Comput. 28(1): 119-146 (2013) - [j4]Simonetta Montemagni, Martijn Wieling, Bob de Jonge, John Nerbonne:
Synchronic patterns of Tuscan phonetic variation and diachronic change: Evidence from a dialectometric study. Lit. Linguistic Comput. 28(1): 157-172 (2013) - [c8]Fabian Tomaschek, Martijn Wieling, Denis Arnold, R. Harald Baayen:
Word frequency, vowel length and vowel quality in speech production: an EMA study of the importance of experience. INTERSPEECH 2013: 1302-1306 - 2012
- [j3]Martijn Wieling, Eliza Margaretha, John Nerbonne:
Inducing a measure of phonetic similarity from pronunciation variation. J. Phonetics 40(2): 307-314 (2012) - 2011
- [j2]Martijn Wieling, John Nerbonne:
Bipartite spectral graph partitioning for clustering dialect varieties and detecting their linguistic features. Comput. Speech Lang. 25(3): 700-715 (2011) - [c7]John Nerbonne, Charlotte Gooskens, Peter Kleiweg, Therese Leinonen, Martijn Wieling:
gabmap - A Web Application for Measuring and Visualizing Distances Between Language Varieties. DH 2011: 17 - 2010
- [j1]Martijn B. Wieling, Wiecher Hermen Adriaan Hofman:
The impact of online video lecture recordings and automated feedback on student performance. Comput. Educ. 54(4): 992-998 (2010) - [c6]Martijn Wieling, John Nerbonne:
Hierarchical Spectral Partitioning of Bipartite Graphs to Cluster Dialects and Identify Distinguishing Features. TextGraphs@ACL 2010: 33-41
2000 – 2009
- 2009
- [c5]Jelena Prokic, Martijn Wieling, John Nerbonne:
Multiple Sequence Alignments in Linguistics. LaTeCH - SHELT&R@EACL 2009: 18-25 - [c4]Martijn Wieling, Jelena Prokic, John Nerbonne:
Evaluating the Pairwise String Alignment of Pronunciations. LaTeCH - SHELT&R@EACL 2009: 26-34 - [c3]Martijn Wieling, John Nerbonne:
Bipartite spectral graph partitioning to co-cluster varieties and sound correspondences in dialectology. Graph-based Methods for Natural Language Processing 2009: 14-22 - 2007
- [c2]Martijn Wieling, Therese Leinonen, John Nerbonne:
Inducing Sound Segment Differences Using Pair Hidden Markov Models. SIGMORPHON 2007: 48-56 - 2005
- [c1]Martijn Wieling, Mark-Jan Nederhof, Gertjan van Noord:
Parsing Partially Bracketed Input. CLIN 2005
Coauthor Index
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