Results 11 to 20 of about 7,833,270 (226)
Reproducible Scaling Laws for Contrastive Language-Image Learning [PDF]
Computer Vision and Pattern Recognition, 2022 Scaling up neural networks has led to remarkable performance across a wide range of tasks. Moreover, performance often follows reliable scaling laws as a function of training set size, model size, and compute, which offers valuable guidance as large ...
Mehdi Cherti +8 more
semanticscholar +1 more source
Learning the language of pathogens
eLife, 2023 Parasites can use extracellular vesicles and cellular projections called cytonemes to communicate with one another.
Izadora Volpato Rossi +1 more
openaire +3 more sources
Frontiers in Psychology, 2021 In addressing the recent special issue in Frontiers in Psychology, namely “Positive Psychology in Foreign and Second Language Education: Approaches and Applications,” calling language education researchers around the globe to study positive emotions ...
Yongliang Wang, Ali Derakhshan, L. Zhang
semanticscholar +1 more source
The Bilingual Home Language Boost Through the Lens of the COVID-19 Pandemic
Frontiers in Psychology, 2021 Usage-based accounts of language acquisition suggest that bilingual language proficiency is dynamic and susceptible to changes in language use. The COVID-19 pandemic led to unprecedented modifications in the language learning environment of developing ...
Li Sheng +5 more
doaj +1 more source
A large annotated corpus for learning natural language inference [PDF]
Conference on Empirical Methods in Natural Language Processing, 2015 Understanding entailment and contradiction is fundamental to understanding natural language, and inference about entailment and contradiction is a valuable testing ground for the development of semantic representations. However, machine learning research
Samuel R. Bowman +3 more
semanticscholar +1 more source
Frontiers in Artificial Intelligence, 2023 Construction Grammar (CxG) is a paradigm from cognitive linguistics emphasizing the connection between syntax and semantics. Rather than rules that operate on lexical items, it posits constructions as the central building blocks of language, i.e ...
Leonie Weissweiler +7 more
doaj +1 more source
Learning languages in a union [PDF]
Journal of Computer and System Sciences, 2001 AbstractIn inductive inference, a machine is given words of a language (a recursively enumerable set in our setting) and the machine is said to identify the language if it correctly names the language. In this paper we study identifiability of classes of languages where the unions of up to a fixed number (n say) of languages from the class are provided
Yen Kaow Ng, Sanjay Jain, Tiong Seng Tay
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ChatGPT for Language Teaching and Learning
RELC Journal : A Journal of Language Teaching and Research in Southeast Asia, 2023 In this technology review, we explore the affordances of the generative AI chatbot ChatGPT for language teaching and learning. In addition to this, we also present debates and drawbacks of ChatGPT.
Lucas Kohnke +2 more
semanticscholar +1 more source
Few-shot Learning with Retrieval Augmented Language Models [PDF]
Journal of machine learning research, 2022 Large language models have shown impressive few-shot results on a wide range of tasks. However, when knowledge is key for such results, as is the case for tasks such as question answering and fact checking, massive parameter counts to store knowledge ...
Gautier Izacard +9 more
semanticscholar +1 more source
Multimodal Technologies and Interaction, 2021 Vocabulary learning has been traditionally considered central to second language learning. It may take place either intentionally, by means of deliberate attempts to commit factual information to memory, or incidentally, as a consequence of other ...
José Ramón Calvo-Ferrer +1 more
doaj +1 more source