The learning of mathematics poses specific linguistic challenges. Amongst them, teachers and students need to be able to unpack the language used in mathematics word problems to understand its context, discern the relationships between the known and unknown information, and identify relevant solution strategies. Prior research has described some…

Children learning Chinese must cope with an opaque orthography lacking transparent relations between oral pronunciations and written characters: a challenge heightened for L2 learners. Use of digital Pinyin input may facilitate connections between oral and written language by allowing learners to access vocabulary they cannot yet write. We…

Children are known to be fast learners due to their neural plasticity. Learning a non-native language (L2) requires the mastering of new production patterns. In classroom settings, learners are not only exposed to the acoustic input, but also to the unfamiliar grapheme-phoneme correspondences of the L2 orthography. We tested how 9-10-year-old…

The morphological structure of the word has a central function in the organization of the mental lexicon and word recognition. Polymorphemic words in Arabic are composed of two non-concatenated morphemes: root and word-pattern. This study is the first to address the issue of nominal-pattern priming among young developing Arabic speakers. I…

This study examined accuracy on syllable-final (coda) consonants in newly-learned English-like nonwords to determine whether school-aged bilingual children may be more vulnerable to making errors on English-only codas than their monolingual, English-speaking peers, even at a stage in development when phonological accuracy in productions of…

While previous sociolinguistic research has demonstrated that children faithfully acquire probabilistic input constrained by sociolinguistic and linguistic factors (e.g., gender and socioeconomic status), research suggests children regularize inconsistent input-probabilistic input that is not sociolinguistically constrained (e.g., Hudson Kam &…

In a data set of 291 spontaneous utterances from German 5-year-olds, 7-year-olds and adults, nuclear pitch contours were labeled manually using the GToBI annotation system. Ten different contour types were identified.The fundamental frequency (F0) of these contours was modeled using third-order orthogonal polynomials, following an approach similar…