The core task of reading is to look at letters and identify their sounds and meaning. In English, the spelling system is "quasiregular," meaning it includes many reliable patterns (some so reliable they could be called "rules") but also many inconsistent ones (the sound of "EA" in "heat" vs.…

Verbs serve as the architectural centerpiece of sentences, making verb learning pivotal for language acquisition. Verb learning requires both the formation of a verb-action mapping and the abstraction of relations between an object and its action. Two competing positions have been proposed to explain the process of verb learning: (a) seeing a…

We studied English-learning children's ability to learn the meanings of novel words from sentences containing truth-functional negation (Exp1) and to use the semantics of negation to inform word meaning (Exp2). In Exp1, 22-month-olds (n = 21) heard dialogues introducing a novel verb in either negative-transitive "("Mary didn't blick the…

In a recent article published in this journal, Moscati and Crain (M&C) showcase the explanatory power of a learnability constraint called the Semantic Subset Principle (SSP) (Crain et al. 1994). If correct, M&C's argument would represent a compelling demonstration of the operation of an innate, domain specific, learning principle. However,…

This paper explores the hypothesis that children pay more attention to phonological cues than semantic cues when acquiring grammatical patterns. In a series of artificial allomorphy learning experiments with adults and children we find support for this hypothesis but only for those learners who do not show clear signs of explicit learning. In…

It is often assumed that cross-linguistically more prevalent distinctions are easier to learn potentially due to their conceptual naturalness. Prior work supports this hypothesis in phonology, morphology and syntax but has not addressed semantics. This work aims to unravel the potential factors that contribute to the learnability and the…

Reading in difficult or novel fonts results in slower and less efficient reading (Slattery & Rayner, 2010); however, these fonts may also lead to better learning and memory (Diemand-Yauman, Oppenheimer, & Vaughan, 2011). This effect is consistent with a desirable difficulty effect such that more effort during encoding results in better…

This study investigated how word and child characteristics affect children's ability to learn the meanings of novel words. Participants were fourth- and fifth-graders representing native English speakers (NE) and bilingual learners with fluent English proficiency (FEP) and designated English Learners (EL). Students were taught the meanings of a…

A particular status of the English language as the language of international communication and connections between the nearly related English and German languages resulted in the emergence of many interlingual borrowings in the Modern English and German language vocabularies. The paper aims to consider the functioning of borrowings (loanwords) in…

Language is infinitely productive because syntax defines dependencies between grammatical categories of words and constituents, so there is interchangeability of these words and constituents within syntactic structures. Previous laboratory-based studies of language learning have shown that complex language structures like hierarchical center…

Research suggests that second language words are learned faster when they are similar in phonological structure or accent to the words of an individual's first language. Many major theories suggest this happens because of differences in frequency of exposure and context between first and second language words. Here, we examine the independent…

The work of the later Wittgenstein has recently been taken up by a range of philosophers of education in English, such as Winch (1998), Peters (1999), Burbules (2010), and others (e.g. Aparece 2005). In their interpretations, these scholars have dealt variously with the difficulties posed by Wittgenstein's repeated use of the English word…

This dissertation presents various machine learning applications for predicting different cognitive states of students while they are using a vocabulary tutoring system, DSCoVAR. We conduct four studies, each of which includes a comprehensive analysis of behavioral and linguistic data and provides data-driven evidence for designing personalized…

Natural language is highly complex and can be challenging for some learners, yet the contribution of complexity to individual differences in language learning remains poorly understood. This poor understanding appears due to both a lack of consensus among researchers regarding what complexity is, and to on-line language research often employing…

Purpose: Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. This study asks whether such text…