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Elizabeth Pankratz; Simon Kirby; Jennifer Culbertson – Cognitive Science, 2024
Identifying wordlike units in language is typically done by applying a battery of criteria, though how to weight these criteria with respect to one another is currently unknown. We address this question by investigating whether certain criteria are also used as cues for learning an artificial language--if they are, then perhaps they can be relied…
Descriptors: Statistics Education, Cues, Vocabulary, Statistics
Erdin Mujezinovic; Vsevolod Kapatsinski; Ruben van de Vijver – Cognitive Science, 2024
A word often expresses many different morphological functions. Which part of a word contributes to which part of the overall meaning is not always clear, which raises the question as to how such functions are learned. While linguistic studies tacitly assume the co-occurrence of cues and outcomes to suffice in learning these functions (Baer-Henney,…
Descriptors: Morphology (Languages), Phonology, Morphemes, Cues
Do, Youngah; Mooney, Shannon – Journal of Child Language, 2022
This article examines whether children alter a variable phonological pattern in an artificial language towards a phonetically-natural form. We address acquisition of a variable rounding harmony pattern through the use of two artificial languages; one with dominant harmony pattern, and another with dominant non-harmony pattern. Overall, children…
Descriptors: Language Variation, Vowels, Phonology, Learning Processes
Mengliyev, Bakhtiyor; Shahabitdinova, Shohida; Khamroeva, Shahlo; Gulyamova, Shakhnoza; Botirova, Adiba – Journal of Language and Linguistic Studies, 2021
This article is dedicated to the issue of morphological analysis and synthesis of word forms in a linguistic analyzer, which is a significant feature of corpus linguistics. The article discourses in detail the morphological analysis, the creation of artificial language, grammar and analyzer, the general scheme of the analysis program that…
Descriptors: Morphology (Languages), Computational Linguistics, Computer Software, Artificial Languages
Muylle, Merel; Bernolet, Sarah; Hartsuiker, Robert J. – Language Learning, 2020
Several studies found cross-linguistic structural priming with various language combinations. Here, we investigated the role of two important domains of language variation: case marking and word order, for transitive and ditransitive structures. We varied these features in an artificial language learning paradigm, using three different artificial…
Descriptors: Bilingualism, Priming, Language Processing, Language Variation
David Abugaber – ProQuest LLC, 2022
Learning new languages is a complex task involving both explicit and implicit processes (i.e., that do/do not involve awareness). Understanding how these processes interact is essential to a full account of second language (L2) learning, but accounts vary as to whether explicit processes help (e.g., DeKeyser, 2007), hinder (e.g., Ellis &…
Descriptors: Second Language Instruction, Second Language Learning, Artificial Languages, Task Analysis
Dionysia Saratsli – ProQuest LLC, 2022
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…
Descriptors: Semantics, Grammar, English, Artificial Languages
Mansfield, John; Saldana, Carmen; Hurst, Peter; Nordlinger, Rachel; Stoll, Sabine; Bickel, Balthasar; Perfors, Andrew – Cognitive Science, 2022
Inflectional affixes expressing the same grammatical category (e.g., subject agreement) tend to appear in the same morphological position in the word. We hypothesize that this cross-linguistic tendency toward "category clustering" is at least partly the result of a learning bias, which facilitates the transmission of morphology from one…
Descriptors: Morphology (Languages), Morphemes, Grammar, Transfer of Training
Comeaux, Ian; McDonald, Janet L. – Language Learning, 2018
Visual input enhancement (VIE) increases the salience of grammatical forms, potentially facilitating acquisition through attention mechanisms. Native English speakers were exposed to an artificial language containing four linguistic cues (verb agreement, case marking, animacy, word order), with morphological cues either unmarked, marked in the…
Descriptors: Visual Stimuli, Grammar, Native Speakers, English
Spit, Sybren; Andringa, Sible; Rispens, Judith; Aboh, Enoch O. – Language Learning and Development, 2022
Research consistently shows that adults engaged in tutored acquisition benefit from explicit instruction in several linguistic domains. For preschool children, it is often assumed that such explicit instruction does not make a difference. In the present study, we investigated whether explicit instruction affected young learners in acquiring a…
Descriptors: Teaching Methods, Kindergarten, Eye Movements, Pictorial Stimuli
Liter, Adam; Heffner, Christopher C.; Schmitt, Cristina – Language Learning and Development, 2017
We present an artificial language experiment investigating (i) how speakers of languages such as English with two-way obligatory distinctions between singular and plural learn a system where singular and plural are only optionally marked, and (ii) how learners extend their knowledge of the plural morpheme when under the scope of negation without…
Descriptors: Morphology (Languages), Morphemes, Phonology, Language Acquisition
Monaghan, Padraic; Ruiz, Simón; Rebuschat, Patrick – Second Language Research, 2021
First language acquisition is implicit, in that explicit information about the language structure to be learned is not provided to children. Instead, they must acquire both vocabulary and grammar incrementally, by generalizing across multiple situations that eventually enable links between words in utterances and referents in the environment to be…
Descriptors: Feedback (Response), Second Language Learning, Second Language Instruction, Grammar
Carr, Jon W.; Smith, Kenny; Cornish, Hannah; Kirby, Simon – Cognitive Science, 2017
Language maps signals onto meanings through the use of two distinct types of structure. First, the space of meanings is discretized into categories that are shared by all users of the language. Second, the signals employed by the language are compositional: The meaning of the whole is a function of its parts and the way in which those parts are…
Descriptors: Language Usage, Maps, Classification, Language Research
Atkinson, Mark; Smith, Kenny; Kirby, Simon – Cognitive Science, 2018
Languages spoken in larger populations are relatively simple. A possible explanation for this is that languages with a greater number of speakers tend to also be those with higher proportions of non-native speakers, who may simplify language during learning. We assess this explanation for the negative correlation between population size and…
Descriptors: Adult Learning, Second Language Learning, Difficulty Level, Morphology (Languages)
Mueller, Charles M. – Second Language Research, 2018
Various explanations have been put forth for the asymmetrical acquisition of tense and aspect morphology across categories of lexical aspect. This experiment tested the adequacy of a subset of such accounts by examining English native speakers' (n = 40) use of progressive and past tense morphology within activity and accomplishment verb frames…
Descriptors: Morphemes, Artificial Languages, English, Native Speakers