Prevention or Promotion? Predicting Author's Regulatory Focus by Aswathy Velutharambath, Kai Sassenberg, Roman Klinger

“…However, the concept never made an impactful debut in computational linguistics research. To bridge this gap we introduce the novel task of regulatory focus classification from text and present two complementary German datasets – (1) experimentally generated event descriptions and (2) manually annotated short social media texts used for evaluating the generalizability of models on real-world data. …”
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Speaking exams with less anxiety in Intelligent Computer-Assisted Language Assessment (ICALA): mirroring EFL learners’ foreign language anxiety, shyness, autonomy, and enjoyment by Botir Elov, Irodakhon Abdullayeva, Laylo Raupova, Azam Kholikov, Marguba Mirkasimova

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Named Entity Recognition in Bengali by Asif Ekbal, Sivaji Bandyopadhyay

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A Computational Approach to Understanding Agglutinative Structures in Urdu by Muhammad Shoaib Tahir, Mahnoor Amjad

“…By addressing these challenges, the study aims to contribute to the development of more effective and scalable NLP tools, thereby improving access to Urdu-language content in digital platforms and advancing the broader field of computational linguistics for agglutinative languages.…”
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EDUCATIONAL TRAINING SIMULATOR FOR MONITORING READING TECHNIQUE AND SPEED BASED ON SPEECH-TO-TEXT (STT) METHODS by Olesia Barkovska, Heorhii Ivashchenko, Dmytro Rosinskiy, Daniil Zakharov

“…The practical novelty of the study lies in its potential to optimize the process of controlling reading techniques for children with various speech disorders, such as lisping, rhotacismus, and dyslalia, which remains an unsolved problem for existing computer linguistic models. The practical significance lies in the fact that the use of information and communication technologies and gamification of the learning process motivates to gain knowledge and encourages learning not only due to the game strategy, but also due to the fact that the child receives approval and the opportunity to perform the task again so to improve skills. …”
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Probing the Pitfalls: Understanding SVD’s Shortcomings in Language Model Compression by Сергей Александрович Плетенев

“… Background: Modern computational linguistics heavily relies on large language models that demonstrate strong performance in various Natural Language Inference (NLI) tasks. …”
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Automatic Recognition of Authors Identity in Persian based on Systemic Functional Grammar by Fatemeh Soltanzadeh, Azadeh Mirzaei, Mohammad Bahrani, Shahram Modarres Khiabani

“…Since the 1960s, SFG has been applied in various contexts within computational linguistics (Matthiessen & Bateman, 1991; Teich, 1995). …”
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