This study is a corpus study on morphological features of children's books in Turkish. The purpose of the study is to determine derivational and inflectional suffixes in Turkish children books and to identify the common and productive morphemes used in child literature in the light of the information obtained; hence, reach clues about determining…

A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…

Word segmentation is a crucial step in children's vocabulary learning. While computational models of word segmentation can capture infants' performance in small-scale artificial tasks, the examination of early word segmentation in naturalistic settings has been limited by the lack of measures that can relate models' performance to developmental…

Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…

Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…

This study aimed to establish normative data for 145 words using phonological and semantic association tasks with 242 French schoolchildren, ranging from ages 5 (Grande Section) to 8 (Cours Elémentaire 2), providing a fundamental resource for future research and educational planning. The participants were engaged in two primary tasks: a free…

Hands-off data-driven learning is a data-based, student-oriented learning model characterized by inquiry and discovery. English context vocabulary teaching is the key to English teaching in colleges and an important indicator to evaluate the quality and level of college English teaching, which is a language teaching paradigm focusing on the…

In this commentary, we begin with the discussion on a brief history of academic wordlists. Adopting a comparative perspective, then, the merits and demerits of the Academic Word List (AWL) (Coxhead, 2000) and its competing counterpart the Academic Vocabulary List (AVL) (Gardner & Davies, 2014) are presented. We also explore whether the AWL can…

This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students' vocabulary learning. We developed a system that utilized strategies to facilitate learners' vocabulary learning. The app applied dual code theory to present the objects in picture, word, and pronunciation formats.…

This study addresses whether there is anything special about learning a third language, as compared to learning a second language, that results solely from the order of acquisition. We use a computational model based on the mathematical framework of Linear Discriminative Learning to explore this question for the acquisition of a small trilingual…

While semantic and syntactic properties of verb meaning can impact the success of verb learning at a single age, developmental changes in how these factors influence acquisition are largely unexplored. We ask whether the impact of syntactic and semantic properties on verb vocabulary development varies with age and language ability for toddlers…

In order for children to understand and reason about the world in an adult-like fashion, they need to learn that conceptual categories are organized in a hierarchical fashion (e.g., a dog is also an animal). While children learn from their first-hand observation of the world, social knowledge transmission via language can also play an important…

The use of machine translation (MT) in the academic context has increased in recent years. Hence, language teachers have found it difficult to ignore MT, which has led to some concerns. Among the concerns, its accuracy has become a major factor that shapes language teachers' pedagogical decision to use MT in their language classrooms. Despite the…

The importance of input on language learning cannot be overstated. One method of providing input to learners at a level that is appropriate for them is called extensive reading, in which learners read an abundance of texts. In practice, for learners of English as a second or foreign language, these texts are often books that have been written and…

Some researchers have argued that low-achieving students may never acquire sufficient levels of academic vocabulary to be successful in school without some form of explicit vocabulary instruction (e.g. Snow, Lawrence, & White, 2009). In this paper, I summarize the available data on the efficiency, in words learned per minute of instruction, of…