Language Learning: A Journal of Research in Language Studies is a peer-reviewed academic journal published quarterly by Wiley-Blackwell on behalf of the...

to: Language Learning (journal), a scholarly journal covering language acquisition and learning Second language learning, the process of learning a second...

Learning is a peer-reviewed scientific journal, published since 1986. In 2001, forty editors and members of the editorial board of Machine Learning resigned...

Computer-assisted language learning (CALL), known as computer-aided instruction (CAI) in British English and computer-aided language instruction (CALI)...

Some empiricist theories of language acquisition include the statistical learning theory. Charles F. Hockett of language acquisition, relational frame...

Language learning strategies is a term referring to the actions that are consciously deployed by language learners to help them learn or use a language...

Second-language acquisition (SLA), sometimes called second-language learning—otherwise referred to as L2 (language 2) acquisition, is the process of learning...

large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing...

The Journal of Machine Learning Research is a peer-reviewed open access scientific journal covering machine learning. It was established in 2000 and the...

surpass many previous machine learning approaches in performance. ML finds application in many fields, including natural language processing, computer vision...

In language learning research, identity refers to the personal orientation to time, space, and society, and the manner in which it develops together with...

A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language...

second or foreign language refers to the use of English by individuals whose native language is different, commonly among students learning to speak and write...

Language-based learning disabilities or LBLD are "heterogeneous" neurological differences that can affect skills such as listening, reasoning, speaking...

peer-reviewed academic journals that publish research in the field of artificial intelligence (AI), including areas such as machine learning, computer vision...

"Disproportionality and Learning Disabilities: Parsing Apart Race, Socioeconomic Status, and Language" (PDF). Journal of Learning Disabilities. 44 (3):...

a branch of communicative language teaching (CLT). Task-based language learning has its origins in communicative language teaching, and is a subcategory...

Language learning aptitude refers to the "prediction of how well, relative to other individuals, an individual can learn a foreign language in a given...

Search Engine Journal. Retrieved March 10, 2023. "Scaling Instruction-Finetuned Language Models" (PDF). Journal of Machine Learning Research. 2024....

scientific journal published by Nature Portfolio covering machine learning and artificial intelligence. The editor-in-chief is Liesbeth Venema. The journal was...

statistical learning is now thought to be a generalized learning mechanism, the phenomenon was first identified in human infant language acquisition....

between 2002 and 2006. The journals were Journal of Language and Learning, Journal of Language and Linguistics and Journal of Language and Literature. Date...

Community language learning (CLL) is a language-teaching approach focused on group-interest learning. It is based on the counselling-approach in which...

there was a revolution in natural language processing with the introduction of machine learning algorithms for language processing. This was due to both...

both Mobile Learning (m-learning) and computer-assisted language learning (CALL). MALL has evolved to support students’ language learning with the increased...

language refers to any language learned in addition to a person's first language, including the learning of third, fourth, and subsequent languages....

Content and language integrated learning (CLIL) is an approach for learning content through an additional language (foreign or second), thus teaching both...

In deep learning, fine-tuning is an approach to transfer learning in which the parameters of a pre-trained neural network model are trained on new data...

optimization. RLHF has applications in various domains in machine learning, including natural language processing tasks such as text summarization and conversational...

promoted by Michael Gruneberg since at least the early 1980s for learning languages based on the similarity of the sounds of words. The process involves...