Results 111 to 120 of about 11,839,862 (294)

Romance languages and linguistic theory 16 selected papers from the 47th Linguistics Symposium on Romance Languages (LSRL), Newark, Delaware

open access: yes, 2020
"The chapters in this book represent the theme of "bridges" - bridging research approaches and directions across languages, methodologies and disciplines.
Linguistic Symposium on Romance Languages 2017 Newark, Delaware   +1 more
core  

Linguistic vs. Non-linguistic Conditioning of Linguistic Variables [PDF]

open access: yes, 1991
Using as its data some results of dialect contact (Trudgill 1986) in the history of Newfoundland English, this paper attempts to test the following two hypotheses.
Paddock, Harold
core   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

Book review: Linguistic imperialism continued. [PDF]

open access: yes, 2010
This article reviews the book “Linguistic imperialism continued”, edited by Robert ...
Barnard, Roger
core  

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou   +5 more
wiley   +1 more source

MODALITY IN LINGUISTIC BEHAVIOR IN TRANSLATION OF AL-MULK: PRAGMATIC ANALYSIS

open access: yesHamdard Islamicus, 2020
This research aims to analyze the modalities contained in the Al-Mulk, using the Pragmatics Leech and Searle in Rahardi (2003) and Alwi (1992) approaches, as well as descriptive analytical methods.
Riza Lupi Ardiati, Pika Yestia Ginanjar, Kasno Pamungkas, Titin Nurhayati Ma’mun
doaj   +2 more sources

Multiagent Systems as an Approach to Building Fuzzy voter Communities using fuzzy languages

open access: yesBuana Information Technology and Computer Sciences
This paper explores the use of fuzzy set theory to model the behavior of voters in a multi-agent electoral environment. Voters, represented as fuzzy agents, communicate using imprecise language to form communities based on shared linguistic terms.
Milambu Belangany   +2 more
doaj   +1 more source

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

open access: yesAdvanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang   +4 more
wiley   +1 more source

Linguistic meta-theory the formal and empirical conditions of acceptability of linguistic theories and descriptions [PDF]

open access: yes, 2012
Most linguists acknowledge, explicitly or implicitly, the relevance of epistemological questions in linguistics but relatively few have given more than a cursory, ad hoc or incomplete consideration to them.
Rastall, P. R.
core   +1 more source

Vector‐Based SparseGPT: A Vector‐Based Sparsity Method for Large Language Model

open access: yesAdvanced Intelligent Systems, EarlyView.
Conventional pruning such as SparseGPT produces harmful accumulated errors through step‐by‐step weight editing. V‐SparseGPT prunes and updates target weights simultaneously to curb these errors for N:M structured sparsity. Block‐sparsity and layer‐parallel sparsity greatly boost pruning efficiency.
Junfei He   +3 more
wiley   +1 more source

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