activity
20212025
most citedModeling morphology with Linear Discriminative Learning: considerations and design choices

32 citations · 63 across the 10 of their papers we have counts for

collaborators
Showing cs.CLShow all

8 papers · 1 filter

cs.CL2025

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…

cs.CL2025

The realization of tones in spontaneous spoken Taiwan Mandarin: a corpus-based survey and theory-driven computational modeling

Yuxin Lu, Yu-Ying Chuang, R. Harald Baayen

A growing body of literature has demonstrated that semantics can co-determine fine phonetic detail. However, the complex interplay between phonetic realization and semantics remain…

cs.CL2024

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,…

cs.CL2024★ 3 cited

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…

cs.CL2023★ 16 cited

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…

cs.CL2022★ 5 cited

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…

cs.CL2021★ 2 cited

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…

cs.CL2021★ 32 cited

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…