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Quantifying iconicity’s contribution during language acquisition: Implications for vocabulary learning
vocabulary acquisition speech difficulty iconicity in speech
2017/9/4
Previous research found that iconicity—the motivated correspondence between word form and meaning—contributes to expressive vocabulary acquisition. We present two new experiments with two different da...
Domain-general mechanisms for speech segmentation: The role of duration information in language learning
iambic/trochaic law language acquisition speech segmentation
2017/8/28
Speech segmentation is supported by multiple sources of information that may either inform language processing specifically, or serve learning more broadly. The Iambic/Trochaic Law (ITL), where increa...
Concurrent Statistical Learning of Adjacent and Nonadjacent Dependencies
statistical learning artificial grammar learning serial reaction time nonadjacent dependencies
2016/5/3
When children learn their native language, they have to deal with a confusing array of dependencies between various elements in an utterance. The dependent elements may be adjacent to one another or s...
The P600 in Implicit Artificial Grammar Learning
EEG Artificial syntax Implicit learning Artificial grammar learning Structural mereexposure Preference classification
2016/5/3
The suitability of the artificial grammar learning (AGL) paradigm to capture relevant aspects of the acquisition of linguistic structures has been empirically tested in a number of EEG studies. Some h...
Sound-Symbolism Boosts Novel Word Learning
ideophone sound-symbolism synaesthesia iconicity word learning
2016/5/3
The existence of sound-symbolism (or a non-arbitrary link between form and meaning) is well-attested. However, sound-symbolism has mostly been investigated with nonwords in forced choice tasks, neithe...
Divide and Conquer: How Perceptual Contrast Sensitivity and Perceptual Learning Cooperate in Reducing Input Variation in Speech Perception
perceptual contrast effects perceptual learning speech perception speech perception models
2015/12/21
Listeners have to overcome variability of the speech signal that can arise, for example, because of
differences in room acoustics, differences in speakers’ vocal tract properties, or idiosyncrasies i...
The role of attentional abilities in lexically guided perceptual learning by older listeners
Perceptual learning Speech perception Attention Aging Individual differences
2015/12/21
This study investigates two variables that may
modify lexically guided perceptual learning: individual hearing sensitivity and attentional abilities. Older Dutch listeners
(aged 60+ years, varying f...
Gavagai Is as Gavagai Does: Learning Nouns and Verbs From Cross-Situational Statistics
Language acquisition Cross-situational learning
2015/12/18
Learning to map words onto their referents is difficult, because there are multiple possibilities
for forming these mappings. Cross-situational learning studies have shown that word-object mapp...
Adult age effects in auditory statistical learning
statistical learning auditory learning
2015/12/18
Statistical learning plays a key role in language
processing, e.g., for speech segmentation. Older
adults have been reported to show less statistical
learning on the basis of visual input than y...
Learning pronunciation variants in a second language: Orthographic effects
second language acquisition phonological variation orthography
2015/12/18
The present study investigated the effect of
orthography on the learning and subsequent
processing of pronunciation variants in a second
language. Dutch learners of French learned reduced
pron...
Repetition Suppression in the Left Inferior Frontal Gyrus Predicts Tone Learning Performance
fMRI adaptation individual variation
2015/12/18
Do individuals differ in how efficiently they process non-native sounds? To what extent do these differences relate to individual
variability in sound-learning aptitude? We addressed these ques...
Suppose we want to build a system that answers a natural language question by representing its
semantics as a logical form and computing the answer given a structured database of facts. The
core par...
Learning Entailment Relations by Global Graph Structure Optimization
Structure Optimization Entailment Relations
2015/9/10
Identifying entailment relations between predicates is an important part of applied semantic
inference. In this article we propose a global inference algorithm that learns such entailment
rules. Fir...
This article surveys work on Unsupervised Learning of Morphology. We define Unsupervised
Learning of Morphology as the problem of inducing a description (of some kind, even if only
morpheme se...
Learning to Rank Answers to Non-Factoid Questions from Web Collections
Web Collections Non-Factoid Questions
2015/9/9
This work investigates the use of linguistically motivated features to improve search, in particular for ranking answers to non-factoid questions. We show that it is possible to exploit
existing larg...