Results 21 to 30 of about 138,095 (289)
Towards a psychology of machines: large language models predict human memory [PDF]
PeerJ Computer ScienceLarge language models (LLMs), such as ChatGPT, have shown remarkable abilities in natural language processing, opening new avenues in psychological research.
Elanur Ulakci +2 more
doaj +2 more sources
Acta Psychologica, 2023 Research on the satisfaction of the basic psychological needs for autonomy, competence, and relatedness is well-established in second language (L2) research.
Abdullah Alamer +3 more
doaj +1 more source
First language translation involvement in second language word processing
Frontiers in Psychology, 2022 Studies on bilingual word processing have demonstrated that the two languages in a mental lexicon can be parallelly activated. However, it is under discussion whether the activated, non-target language gets involved in the target language.
Tao Zeng, Chen Chen, Jiashu Guo
doaj +1 more source
Do Multi-Sense Embeddings Improve Natural Language Understanding? [PDF]
, 2015 Learning a distinct representation for each sense of an ambiguous word could lead to more powerful and fine-grained models of vector-space representations. Yet while `multi-sense' methods have been proposed and tested on artificial word-similarity tasks,
Jurafsky, Dan, Li, Jiwei
core +1 more source
Bi-directional cross-language activation in Chinese Sign Language (CSL)-Chinese bimodal bilinguals
Acta Psychologica, 2022 In bilingual word recognition, cross-language activation has been found in unimodal bilinguals (e.g., Chinese-English bilinguals) and bimodal bilinguals (e.g., American Sign language-English bilinguals).
Yuanbo Wang +5 more
doaj +1 more source
A Lexical Resource-Constrained Topic Model for Word Relatedness
IEEE Access, 2019 Word relatedness computation is an important supporting technology for many tasks in natural language processing. Traditionally, there have been two distinct strategies for word relatedness measurement: one utilizes corpus-based models, whereas the other
Yongjing Yin +5 more
doaj +1 more source
Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models
Angewandte Chemie, EarlyView.AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang +7 more
wiley +2 more sources
Investigating the relatedness of the endangered Dogon languages
Literary and Linguistic Computing, 2013 In this article we apply up-to-date methods of quantitative language comparison, inspired by algorithms successfully applied in bioinformatics to decode DNA and determine the genetic relatedness of humans, to language data in an attempt to shed light on the current situation of a family of languages called Dogon, which are spoken in Mali, West Africa ...
Moran, Steven; Prokic, Jelena
openaire +1 more source
The empiricism of Michel Serres a theory of the senses between philosophy of science, phenomenology and ethics [PDF]
Filozofija i Društvo, 2021 The paper presents the philosophy of the French philosopher Michel Serres, with an accent on his working method and unusual methodology. Starting from the thesis that the empiricist trait of Serres’ philosophy remains underexposed if one simply ...
Gehring Petra
doaj +1 more source
The Non-Aristotelian Virtue of Truth from the Second-Person Perspective [PDF]
, 2013 The claim has been made that when Aquinas speaks about the virtue of truth and its opposing vices in the Summa theologiae 2-2.109-113, he regards himself as speaking of the same virtue of truth as found in the Nicomachean Ethics 4.7.
Pinsent, Andrew
core +1 more source