Results 51 to 60 of about 416,215 (289)

The Role of Actual and Purported Origin in e‐Commerce Wine Pricing: Evidence From Italian and French Names on Labels

open access: yesAgribusiness, EarlyView.
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi   +2 more
wiley   +1 more source

R as a Lingua Franca: Advantages of Using R for Quantitative Research in Applied Linguistics [PDF]

open access: yes, 2016
In this article, we suggest that using R, a statistical software environment, is advantageous for quantitative researchers in applied linguistics. We first provide a brief overview of the reasons why R is popular among researchers in other fields and why
Luke PLONSKY   +2 more
core   +2 more sources

Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language

open access: yesAgribusiness, EarlyView.
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak   +2 more
wiley   +1 more source

Promoting teacher–learner autonomy through and beyond initial language teacher education [PDF]

open access: yes, 2011
With the growing international market for pre-experience MA in ELT/TESOL programmes, a key curriculum design issue is how to help students develop as learners of teaching through and beyond their formal academic studies. We report here on our attempts at
Brown, Peter J.   +3 more
core   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

open access: yesAdvanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Teaching machine translation and translation technology: a contrastive study [PDF]

open access: yes, 2001
The Machine Translation course at Dublin City University is taught to undergraduate students in Applied Computational Linguistics, while Computer-Assisted Translation is taught on two translator-training programmes, one undergraduate and one ...
Kenny, Dorothy, Way, Andy
core  

Facing the Mirror: Dilemmas and Issues Encountered on a TESOL programme in an International University Environment [PDF]

open access: yes, 2015
: This paper investigates the experiences of three postgraduate students studying on an MA TESOL and Applied Linguistics course in a British university context.
Leonard, J M
core   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

open access: yesAdvanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Корпус як об’єкт прикладного мовознавства (Corpus as an object of applied linguistics) [PDF]

open access: yes, 2017
Тези присвячено одному із пріоритетних напрямів сучасних прикладних лінгвістичних досліджень – корпусній лінгвістиці. Сформульовано визначення поняття «корпусна лінгвістика», а також встановлено основні ознаки текстового корпусу.
Пасічник, P.
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

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