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Large language models (LLMs) often fail to meet the pedagogical needs of K-12 English learners in non-native contexts due to a proficiency mismatch. To address this widespread challenge, we introduce a proficiency-aligned framework that…

计算与语言 · 计算机科学 2026-04-27 Haidong Yuan , Haokun Zhao , Wanshi Xu , Songjun Cao , Qingyu Zhou , Long Ma , Hongjie Fan

Seminal work by Huebner et al. (2021) showed that language models (LMs) trained on English Child-Directed Language (CDL) can reach similar syntactic abilities as LMs trained on much larger amounts of adult-directed written text, suggesting…

计算与语言 · 计算机科学 2025-12-02 Francesca Padovani , Jaap Jumelet , Yevgen Matusevych , Arianna Bisazza

The widespread adoption of generative artificial intelligence/machine learning (AI/ML) technologies has increased the need to support youth in developing AI/ML literacies. However, most work has centered on preparing young people to use…

人机交互 · 计算机科学 2025-04-22 Luis Morales-Navarro

Despite the rapid recent progress in creating accurate and compact in-context learners, most recent work focuses on in-context learning (ICL) for tasks in English. However, the ability to interact with users of languages outside English…

计算与语言 · 计算机科学 2023-04-05 Michal Štefánik , Marek Kadlčík , Piotr Gramacki , Petr Sojka

Around the globe Covid-19 pandemic has influenced not only the education, but also our everyday life, among other aspects. In Greece, distance learning started to get in use widely in tertiary education, since the first national lockdown…

综合数学 · 数学 2022-04-25 Ioannis Rizos , Nikolaos Gkrekas

In recent years, the rapid development of Large Language Models (LLMs) has significantly enhanced natural language understanding and human-computer interaction, creating new opportunities in the field of robotics. However, the integration…

机器人学 · 计算机科学 2026-01-06 Shenqi Lu , Liangwei Zhang

Large language models (LLMs) are rapidly changing learning processes, as they are readily available to students and quickly complete or augment several learning-related activities with non-trivial performance. Such major shifts in learning…

人机交互 · 计算机科学 2024-09-23 Rahul R. Divekar , Sophia Guerra , Lisette Gonzalez , Natasha Boos

Automatic Sign Language Translation (SLT) is a research avenue of great societal impact. End-to-End SLT facilitates the interaction of Hard-of-Hearing (HoH) with hearing people, thus improving their social life and opportunities for…

计算与语言 · 计算机科学 2023-10-10 Andreas Voskou , Konstantinos P. Panousis , Harris Partaourides , Kyriakos Tolias , Sotirios Chatzis

We present BgGPT-Gemma-2-27B-Instruct and BgGPT-Gemma-2-9B-Instruct: continually pretrained and fine-tuned versions of Google's Gemma-2 models, specifically optimized for Bulgarian language understanding and generation. Leveraging Gemma-2's…

计算与语言 · 计算机科学 2024-12-17 Anton Alexandrov , Veselin Raychev , Dimitar I. Dimitrov , Ce Zhang , Martin Vechev , Kristina Toutanova

The existence of a Dictionary in electronic form for Modern Greek (MG) is mandatory if one is to process MG at the morphological and syntactic levels since MG is a highly inflectional language with marked stress and a spelling system with…

计算与语言 · 计算机科学 2007-05-23 Ch. Tsalidis , A. Vagelatos , G. Orphanos

Nowadays, Intelligent Tutoring Systems (ITSs) are so regarded in order to improve education quality via new technologies in this area. One of the problems is that the language of ITSs is different from the learner's. It forces the learners…

计算机与社会 · 计算机科学 2013-04-17 Hossein Movafegh Ghadirli , Maryam Rastgarpour

We present our first stage results from deploying an LLM-augmented visualization software in a classroom setting to engage primary school children with earth-related datasets. Motivated by the growing interest in conversational AI as a…

As Artificial Intelligence (AI) becomes increasingly integrated into education, university students preparing for English language tests are frequently shifting between traditional search engines like Google and large language models (LLMs)…

人机交互 · 计算机科学 2026-02-18 Tarek Rahman , Md Shaharia Hossen , Mark Protik Mondol , Jannatun Noor Mukta

The paper gives an overview of the Russian Semantic Similarity Evaluation (RUSSE) shared task held in conjunction with the Dialogue 2015 conference. There exist a lot of comparative studies on semantic similarity, yet no analysis of such…

Over recent years a lot of research papers and studies have been published on the development of effective approaches that benefit from a large amount of user-generated content and build intelligent predictive models on top of them. This…

计算与语言 · 计算机科学 2021-01-21 Mohammad Kasra Habib

Existing language learning tools, even those powered by Large Language Models (LLMs), often lack support for polyglot learners to build linguistic connections across vocabularies in multiple languages, provide limited customization for…

计算与语言 · 计算机科学 2025-07-03 Kenan Tang , Yanhong Li , Yao Qin

Crafting quizzes from educational content is a pivotal activity that benefits both teachers and students by reinforcing learning and evaluating understanding. In this study, we introduce a novel approach to generate quizzes from Turkish…

计算与语言 · 计算机科学 2024-06-06 Kamyar Zeinalipour , Yusuf Gökberk Keptiğ , Marco Maggini , Marco Gori

New Mobile technologies have created a new social dimension where individuals can develop increased levels of their social awareness by keeping in touch with old friends, making new friends, dispense new data or product, and getting…

计算机与社会 · 计算机科学 2014-02-11 Abubakar Sadiq Bappah

The rapid adoption of Generative AI (GenAI) based on Large Language Models (LLMs) such as ChatGPT has recently and profoundly impacted education, offering transformative opportunities while raising significant concerns. In this study we…

计算机与社会 · 计算机科学 2024-12-24 Jérémie Sublime , Ilaria Renna

This article investigates the use of Transformation-Based Error-Driven learning for resolving part-of-speech ambiguity in the Greek language. The aim is not only to study the performance, but also to examine its dependence on different…

计算与语言 · 计算机科学 2007-05-23 G. Petasis , G. Paliouras , V. Karkaletsis , C. D. Spyropoulos , I. Androutsopoulos