32 citations · 87 across the 22 of their papers we have counts for
23 papers
Letters hide the truth from our eyes: English homophones have meaningfully different phonetic realizations
Yu-Hsiang Tseng, Mirjam T. C. Ernestus, Louis F. M. ten Bosch +1
The distribution of spoken word duration of English homophones is known to co-vary with frequency of use. This study investigates whether other aspects of the phonetic realization…
Word meaning co-determines vowel-inherent spectral change. A corpus-based investigation of conversational Mandarin
Xiaoyun Jin, Mirjam Ernestus, R. Harald Baayen
This study investigates vowel-inherent spectral change (VISC) in spontaneous conversational Mandarin. Using the generalized additive model and word embeddings from distributional s…
Using embeddings to predict spoken word duration and pitch in Mandarin monosyllabic words
Xiaoyun Jin, Mirjam Ernestus, R. Harald Baayen
Time-normalized f0 contours of Mandarin words in conversational speech have been shown to be predictable in part from their contextualized embeddings (CEs). The present study inves…
A new kid on the block: Distributional semantics predicts the word-specific tone signatures of monosyllabic words in conversational Taiwan Mandarin
Xiaoyun Jin, Mirjam Ernestus, R. Harald Baayen
We present a corpus-based investigation of how the pitch contours of monosyllabic words are realized in spontaneous conversational Mandarin, focusing on the effects of words' meani…
Analyzing Finnish Inflectional Classes through Discriminative Lexicon and Deep Learning Models
Alexandre Nikolaev, Yu-Ying Chuang, R. Harald Baayen
Descriptions of complex nominal or verbal systems make use of inflectional classes. Inflectional classes bring together nouns which have similar stem changes and use similar expone…
A corpus-based investigation of pitch contours of monosyllabic words in conversational Taiwan Mandarin
Xiaoyun Jin, Mirjam Ernestus, R. Harald Baayen
In Mandarin, the tonal contours of monosyllabic words produced in isolation or in careful speech are characterized by four lexical tones: a high-level tone (T1), a rising tone (T2)…
Is deeper always better? Replacing linear mappings with deep learning networks in the Discriminative Lexicon Model
Maria Heitmeier, Valeria Schmidt, Hendrik P. A. Lensch +1
Recently, deep learning models have increasingly been used in cognitive modelling of language. This study asks whether deep learning can help us to better understand the learning p…
Form and meaning co-determine the realization of tone in Taiwan Mandarin spontaneous speech: the case of T2-T3 and T3-T3 tone sandhi
Yuxin Lu, Yu-Ying Chuang, R. Harald Baayen
In Standard Chinese, Tone 3 (the dipping tone) becomes Tone 2 (rising tone) when followed by another Tone 3. Previous studies have noted that this sandhi process may be incomplete,…
Word-specific tonal realizations in Mandarin
Yu-Ying Chuang, Melanie J. Bell, Yu-Hsiang Tseng +1
The pitch contours of Mandarin two-character words are generally understood as being shaped by the underlying tones of the constituent single-character words, in interaction with a…
Frequency effects in Linear Discriminative Learning
Maria Heitmeier, Yu-Ying Chuang, Seth D. Axen +1
Word frequency is a strong predictor in most lexical processing tasks. Thus, any model of word recognition needs to account for how word frequency effects arise. The Discriminative…
Visual Grounding of Inter-lingual Word-Embeddings
Wafaa Mohammed, Hassan Shahmohammadi, Hendrik P. A. Lensch +1
Visual grounding of Language aims at enriching textual representations of language with multiple sources of visual knowledge such as images and videos. Although visual grounding is…
Making sense of spoken plurals
Elnaz Shafaei-Bajestan, Peter Uhrig, R. Harald Baayen
Distributional semantics offers new ways to study the semantics of morphology. This study focuses on the semantics of noun singulars and their plural inflectional variants in Engli…
How trial-to-trial learning shapes mappings in the mental lexicon: Modelling Lexical Decision with Linear Discriminative Learning
Maria Heitmeier, Yu-Ying Chuang, R. Harald Baayen
Trial-to-trial effects have been found in a number of studies, indicating that processing a stimulus influences responses in subsequent trials. A special case are priming effects w…
How direct is the link between words and images?
Hassan Shahmohammadi, Maria Heitmeier, Elnaz Shafaei-Bajestan +2
Current word embedding models despite their success, still suffer from their lack of grounding in the real world. In this line of research, Gunther et al. 2022 proposed a behaviora…
Language with Vision: a Study on Grounded Word and Sentence Embeddings
Hassan Shahmohammadi, Maria Heitmeier, Elnaz Shafaei-Bajestan +2
Grounding language in vision is an active field of research seeking to construct cognitively plausible word and sentence representations by incorporating perceptual knowledge from…
Semantic properties of English nominal pluralization: Insights from word embeddings
Elnaz Shafaei-Bajestan, Masoumeh Moradipour-Tari, Peter Uhrig +1
Semantic differentiation of nominal pluralization is grammaticalized in many languages. For example, plural markers may only be relevant for human nouns. English does not appear to…
Vector Space Morphology with Linear Discriminative Learning
Yu-Ying Chuang, Mihi Kang, Xuefeng Luo +1
This paper presents three case studies of modeling aspects of lexical processing with Linear Discriminative Learning (LDL), the computational engine of the Discriminative Lexicon m…
Modeling morphology with Linear Discriminative Learning: considerations and design choices
Maria Heitmeier, Yu-Ying Chuang, R. Harald Baayen
This study addresses a series of methodological questions that arise when modeling inflectional morphology with Linear Discriminative Learning. Taking the semi-productive German no…
A note on the modeling of the effects of experimental time in psycholinguistic experiments
R. Harald Baayen, Matteo Fasiolo, Simon Wood +1
Thul et al. (2020) called attention to problems that arise when chronometric experiments implementing specific factorial designs are analysed with the generalized additive mixed mo…
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task Training
Hassan Shahmohammadi, Hendrik P. A. Lensch, R. Harald Baayen
Language grounding aims at linking the symbolic representation of language (e.g., words) into the rich perceptual knowledge of the outside world. The general approach is to embed b…
Learning Precise Spike Timings with Eligibility Traces
Manuel Traub, Martin V. Butz, R. Harald Baayen +1
Recent research in the field of spiking neural networks (SNNs) has shown that recurrent variants of SNNs, namely long short-term SNNs (LSNNs), can be trained via error gradients ju…
Autocorrelated errors in experimental data in the language sciences: Some solutions offered by Generalized Additive Mixed Models
R. Harald Baayen, Jacolien van Rij, Cecile de Cat +1
A problem that tends to be ignored in the statistical analysis of experimental data in the language sciences is that responses often constitute time series, which raises the proble…
Estimating Lexical Priors for Low-Frequency Syncretic Forms
Harald Baayen, Richard Sproat
Given a previously unseen form that is morphologically n-ways ambiguous, what is the best estimator for the lexical prior probabilities for the various functions of the form? We ar…