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Incidental Learning of Gender Agreement in L2 [PDF]

open access: yes, 2017
Incidental learning of grammar has been an area of interest for many decades; nevertheless, existing research has primarily focused on artificial or semi-artificial languages.
Denhovska, Nadiia, Serratrice, Ludovica
core   +1 more source

Recoding and representation in artificial grammar learning [PDF]

open access: yesBehavior Research Methods, 2012
We apply an exemplar model of memory to explain performance in the artificial grammar task. The model blends the convolution-based method for representation developed in Jones and Mewhort's BEAGLE model of semantic memory (Psychological Review 114:1-37, 2007) with the storage and retrieval assumptions in Hintzman's MINERVA 2 model of episodic memory ...
Chrissy M, Chubala, Randall K, Jamieson
openaire   +2 more sources

From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity

open access: yesNeuroImage, 2020
Human creativity is intricately linked to acquired knowledge. However, to date learning a new musical style and subsequent musical creativity have largely been studied in isolation.
Ioanna Zioga   +4 more
doaj   +1 more source

English grammar multiple-choice question generation using Text-to-Text Transfer Transformer

open access: yesComputers and Education: Artificial Intelligence, 2023
English grammar multiple-choice questions (MCQs) can be automatically generated to reduce preparation time. Previous studies have focused on semiautomated methods based on the transformation of human-made sentences/articles into MCQs, owing to which the ...
Peerawat Chomphooyod   +3 more
doaj   +1 more source

Developmental constraints on learning artificial grammars with fixed, flexible and free word order [PDF]

open access: yes, 2017
Human learning, although highly flexible and efficient, is constrained in ways that facilitate or impede the acquisition of certain systems of information.
Baggio, Giosuè, Nowak, Iga
core   +2 more sources

Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-based Distributed Deep Learning [PDF]

open access: yes, 2019
One decade ago, Bitcoin was introduced, becoming the first cryptocurrency and establishing the concept of "blockchain" as a distributed ledger. As of today, there are many different implementations of cryptocurrencies working over a blockchain, with ...
Baldominos, Alejandro, Saez, Yago
core   +2 more sources

Cumulative markedness effects and (non-)linearity in phonotactics

open access: yesGlossa, 2022
How do grammars assess the well-formedness of words with multiple phonotactic violations? Certain models predict that as the strength of phonotactic restrictions decrease, forms that violate multiple restrictions should be less acceptable than expected ...
Adam Albright, Canaan Breiss
doaj   +2 more sources

Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics [PDF]

open access: yes, 2010
“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders.
Belpaeme, T.   +16 more
core   +2 more sources

A matter of time: Implicit acquisition of recursive sequence structures [PDF]

open access: yes, 2009
A dominant hypothesis in empirical research on the evolution of language is the following: the fundamental difference between animal and human communication systems is captured by the distinction between regular and more complex non-regular grammars ...
Araújo, S.   +5 more
core   +1 more source

Individual behavior in learning of an artificial grammar [PDF]

open access: yesMemory & Cognition, 2010
Artificial grammar learning (AGL) is a widely used experimental paradigm that investigates how syntactic structures are processed. After a familiarization phase, participants have to distinguish strings consistent with a set of grammatical rules from strings that violate these rules.
Vitor C, Zimmerer   +2 more
openaire   +2 more sources

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