Martijn Wieling

Publications
Influence

Measuring foreign accent strength in English : Validating Levenshtein distance as a measure

Martijn Wieling, J. Bloem, Kaitlin Mignella, Mona Timmermeister, J. Nerbonne
Computer Science
2014

We evaluate the suitability of a modified version of the Levenshtein distance (LD) for comparing (the phonetic transcriptions of) accented pronunciations of non-native English speakers to native American speech. Expand

itsadug: Interpreting Time Series and Autocorrelated Data Using GAMMs

J. V. Rij, Martijn Wieling, R. Baayen, D. V. Rijn
Geography
2 July 2015

is a nonlinear regression analysis which is particularly useful for time course data such as EEG, pupil dila-tion, gaze data (eye tracking), and articulography recordings, but also for behav-ioral… Expand

Inducing a measure of phonetic similarity from pronunciation variation

Martijn Wieling, E. Margaretha, J. Nerbonne
Computer Science
J. Phonetics
1 March 2012

This paper compares the induced measure of segment distances conceptually to other measures and also investigates whether the results generalize to other dialect datasets. Expand

Investigating dialectal differences using articulography

Martijn Wieling, Fabian Tomaschek, +5 authors R. Baayen
Psychology, Computer Science
ICPhS
1 November 2016

The present study introduces articulography, the measurement of the position of tongue and lips during speech, as a promising method to investigate structural differences in pronunciation at the dialect level. Expand

Reproducibility in Computational Linguistics: Are We Willing to Share?

Martijn Wieling, J. Rawee, Gertjan van Noord
Computer Science
Computational Linguistics
26 December 2018

This study focuses on an essential precondition for reproducibility in computational linguistics: the willingness of authors to share relevant source code. Expand

A Cognitively Grounded Measure of Pronunciation Distance

Martijn Wieling, J. Nerbonne, J. Bloem, Charlotte Gooskens, Wilbert Heeringa, R. Baayen
Computer Science, Medicine
PloS one
1 November 2013

In this study we develop pronunciation distances based on naive discriminative learning (NDL) and validate them on the basis of native-likeness ratings. Expand

Evaluating the Pairwise String Alignment of Pronunciations

Martijn Wieling, Jelena Prokic, J. Nerbonne
Computer Science
LaTeCH - SHELT&R@EACL
30 March 2009

Pairwise string alignment is an important general technique for obtaining a measure of similarity between two strings, used e.g., in dialectology, historical linguistics, transliteration, and in evaluating name distinctiveness. Expand

Multiple Sequence Alignments in Linguistics

Jelena Prokic, Martijn Wieling, J. Nerbonne
Computer Science
LaTeCH - SHELT&R@EACL
30 March 2009

We apply and evaluate an iterative pairwise alignment program for producing multiple sequence alignments, ALPHAMALIG (Alonso et al., 2004), using as material the phonetic transcriptions of words used in Bulgarian dialectological research. Expand

Automatically measuring the strength of foreign accents in English

Martijn Wieling, J. Bloem, Kaitlin Mignella, Mona Timmermeister, J. Nerbonne
2013

We measure the differences between the pronunciations of native and non-native American English speakers using a modified version of the Levenshtein (or string edit) distance applied to phonetic… Expand

Bipartite spectral graph partitioning for clustering dialect varieties and detecting their linguistic features

Martijn Wieling, J. Nerbonne
Computer Science
Comput. Speech Lang.
1 July 2011

In this study we use bipartite spectral graph partitioning to simultaneously cluster varieties and identify their most distinctive linguistic features in Dutch dialect data. Expand

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