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Rajaram, Melissa – Journal of Child Language, 2022
Multisyllabic words constitute a large portion of children's vocabulary. However, the relationship between phonological neighborhood density and English multisyllabic word learning is poorly understood. We examine this link in three, four and six year old children using a corpus-based approach. While we were able to replicate the well-accepted…
Descriptors: Phonology, Language Acquisition, English, Computational Linguistics
Sütçü, Elif – Education Quarterly Reviews, 2022
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…
Descriptors: Childrens Literature, Morphemes, Turkish, Computational Linguistics
Kaveri K. Sheth; Naja Ferjan Ramírez – Language Learning and Development, 2025
Research on "parentese," the acoustically exaggerated, slower, and higher-pitched speech directed toward infants, has mostly focused on maternal contributions, although it has long been known that fathers also produce parentese. Given recent societal changes in family dynamics, it is necessary to revise these mother-centered models of…
Descriptors: Computational Linguistics, Parent Child Relationship, Child Language, Syntax
Caroline F. Rowland; Amy Bidgood; Gary Jones; Andrew Jessop; Paula Stinson; Julian M. Pine; Samantha Durrant; Michelle S. Peter – Language Learning, 2025
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…
Descriptors: Vocabulary Development, Comparative Analysis, Computational Linguistics, Language Skills
Saeedi, Mostafa; Khany, Reza; Tazik, Khalil – rEFLections, 2023
Vocabulary knowledge has been recognized as a crucial component in learning and teaching of both native and non-native learners, text understanding, and educational success (Coxhead, 2018; Saeedi et al., 2023; Schmitt et al., 2021), leading to the development of word lists for different purposes. Hence, this study aimed at developing a newspaper…
Descriptors: Word Lists, English (Second Language), Second Language Learning, Second Language Instruction
Clarence Green; Melania Pantelich; Michael Barrow; Daya Weerasinghe; Rachel Daniel – Australian Review of Applied Linguistics, 2024
There are few published estimates of vocabulary sizes amongst students in tertiary education. Research does not offer estimates of the vocabulary size tertiary students might be expected to possess, though estimates exist for K-12 education, some EFL contexts, and the general population. Such research is important. For reading comprehension during…
Descriptors: Intervention, Undergraduate Students, Vocabulary Development, Teaching Methods
Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2022
The idea that a vocabulary is a network of words is one that has become a common theme of the second language (L2) vocabulary research literature. However, not many people have considered the wider implications of this powerful metaphor. This paper is the first in a series of workshops that examines some of these implications. In this first…
Descriptors: Second Language Learning, Vocabulary Development, Workshops, Models
Tim Stoeckel; Stuart McLean – Reading in a Foreign Language, 2022
We are encouraged by Cobb's (2022) description of changes to the Morpholex profiling tool (https://www.lextutor.ca/cgi-bin/morpho/lex/) resulting in more accurate word classifications. This addresses one point in our recent commentary on Morpholex and on Laufer and Cobb's (2020) study using Morpholex (McLean & Stoeckel, 2021). However, Cobb…
Descriptors: Morphology (Languages), Morphemes, Profiles, Computational Linguistics
Cabiddu, Francesco; Bott, Lewis; Jones, Gary; Gambi, Chiara – Language Learning, 2023
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…
Descriptors: Phonemes, Infants, Task Analysis, Phonemic Awareness
C. M. Downey – ProQuest LLC, 2024
Advances in Natural Language Processing (NLP) over the past decade have largely been driven by the scale of data and computation used to train large neural network-based models. However, these techniques are inapplicable to the vast majority of the world's languages, which lack the vast digitized text datasets available for English and a few other…
Descriptors: Multilingualism, Natural Language Processing, Transfer of Training, Second Language Learning
María Díez-Ortega; Kristopher Kyle – Studies in Second Language Acquisition, 2024
Research has indicated that lexical richness is an important indicator of second language (L2) proficiency. However, most research has examined written, cross-sectional English L2 corpora and does not necessarily indicate how spoken lexical use develops over time or whether observed trends are stable across L2s. This study adds to previous…
Descriptors: Second Language Learning, Second Language Instruction, Spanish, Language Proficiency
Denise Bergström; Cathrine Norberg; Marie Nordlund – Education Inquiry, 2025
Learning vocabulary is a central but yet complex aspect of learning a language. Hence, researchers stress the importance of facilitating vocabulary development via a structured approach to target words and recycling. While teaching materials have the potential to provide this structure to all students in a classroom, few studies have investigated…
Descriptors: Textbooks, Incidental Learning, Vocabulary Development, Second Language Learning
Wimonsinee Yuanjai; Chanika Gampper – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study aims to evaluate the extent to which Taylor Swift's song lyrics incorporate vocabulary from the Oxford 3000 and 5000 word lists and to categorize these words based on CEFR levels. The goal is to narrow down the vast selection of songs available to EFL learners, focusing on the most essential vocabulary to enhance their learning…
Descriptors: Singing, Music, Musicians, English (Second Language)
Day, Trevor K. M.; Elison, Jed T. – Journal of Child Language, 2022
A critical question in the study of language development is to understand lexical and syntactic acquisition, which play different roles in speech to the extent it would be natural to surmise they are acquired differently. As measured through the comprehension and production of closed-class words, syntactic ability emerges at roughly the 400-word…
Descriptors: Syntax, Vocabulary Development, Factor Analysis, Classification
Siowai Lo – Computer Assisted Language Learning, 2025
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…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)