Search Results for author: Martijn Wieling

Found 18 papers, 6 papers with code

LSDC - A comprehensive dataset for Low Saxon Dialect Classification

no code implementations VarDial (COLING) 2020 Janine Siewert, Yves Scherrer, Martijn Wieling, Jörg Tiedemann

We present a new comprehensive dataset for the unstandardised West-Germanic language Low Saxon covering the last two centuries, the majority of modern dialects and various genres, which will be made openly available in connection with the final version of this paper.


Low Saxon dialect distances at the orthographic and syntactic level

no code implementations LChange (ACL) 2022 Janine Siewert, Yves Scherrer, Martijn Wieling

Particularly in the PoS-based distances, one can observe all of the 21st century Low Saxon dialects shifting towards the modern majority languages.


Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages

1 code implementation ACL 2022 Wietse de Vries, Martijn Wieling, Malvina Nissim

Cross-lingual transfer learning with large multilingual pre-trained models can be an effective approach for low-resource languages with no labeled training data.

Part-Of-Speech Tagging POS +3

DUMB: A Benchmark for Smart Evaluation of Dutch Models

2 code implementations22 May 2023 Wietse de Vries, Martijn Wieling, Malvina Nissim

The benchmark includes a diverse set of datasets for low-, medium- and high-resource tasks.


Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation

1 code implementation18 May 2023 Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling

For Gronings, for which there was a pre-existing text-to-speech (TTS) system available, we also examined the use of TTS to generate ASR training data from text-only sources.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Preregistered protocol for: Articulatory changes in speech following treatment for oral or oropharyngeal cancer: a systematic review

no code implementations14 Sep 2022 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

This document outlines a PROSPERO pre-registered protocol for a systematic review regarding articulatory changes in speech following oral or orophayrngeal cancer treatment.

Manipulation of oral cancer speech using neural articulatory synthesis

no code implementations31 Mar 2022 Bence Mark Halpern, Teja Rebernik, Thomas Tienkamp, Rob van Son, Michiel van den Brekel, Martijn Wieling, Max Witjes, Odette Scharenborg

We present an articulatory synthesis framework for the synthesis and manipulation of oral cancer speech for clinical decision making and alleviation of patient stress.

Decision Making

Estimating the Level and Direction of Phonetic Dialect Change in the Northern Netherlands

no code implementations15 Oct 2021 Raoul Buurke, Hedwig Sekeres, Wilbert Heeringa, Remco Knooihuizen, Martijn Wieling

This article reports ongoing investigations into phonetic change of dialect groups in the northern Netherlandic language area, particularly the Frisian and Low Saxon dialect groups, which are known to differ in vitality.

The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems

no code implementations18 Dec 2020 Masha Medvedeva, Martijn Wieling, Michel Vols

In this paper we discuss the implications of using machine learning for judicial decision-making in situations where human rights may be infringed.

BIG-bench Machine Learning Decision Making

Neural Representations for Modeling Variation in Speech

1 code implementation25 Nov 2020 Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Liberman, Martijn Wieling

We show that speech representations extracted from a specific type of neural model (i. e. Transformers) lead to a better match with human perception than two earlier approaches on the basis of phonetic transcriptions and MFCC-based acoustic features.

Squib: Reproducibility in Computational Linguistics: Are We Willing to Share?

no code implementations CL 2018 Martijn Wieling, Josine Rawee, Gertjan van Noord

For a selection of ten papers, we attempted to reproduce the results using the provided data and code.

The Power of Character N-grams in Native Language Identification

no code implementations WS 2017 Artur Kulmizev, Bo Blankers, Johannes Bjerva, Malvina Nissim, Gertjan van Noord, Barbara Plank, Martijn Wieling

In this paper, we explore the performance of a linear SVM trained on language independent character features for the NLI Shared Task 2017.

Native Language Identification Text Classification

ALT Explored: Integrating an Online Dialectometric Tool and an Online Dialect Atlas

no code implementations LREC 2016 Martijn Wieling, Eva Sassolini, Sebastiana Cucurullo, Simonetta Montemagni

In this paper, we illustrate the integration of an online dialectometric tool, Gabmap, together with an online dialect atlas, the Atlante Lessicale Toscano (ALT-Web).

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