Perplexity Games: Maoism vs. Literature through the Lens of Cognitive Stylometry by Maciej Kurzynski

“…The arrival of large language models (LLMs) has provoked an urgent search for stylistic markers that could differentiate machine text from human text, but while the human-like appearance of machine text has captivated public attention, the reverse phenomenon—human text becoming machine-like—has raised much less concern. …”
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Evaluation of Different Stemming Techniques on Arabic Customer Reviews by Hawraa Fadhil Khelil, Mohammed Fadhil Ibrahim, Hafsa Ataallah Hussein, Raed Kamil Naser

“…Also, customers often write their reviews in their dialectical style, which often diverts from standard Arabic. …”
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Solo Vandanov's Historical Works in the Buryat Written Sources Parallel Corpus by Marina V. Ayusheeva

“…The introduction of digital technologies in the presentation of texts in the Old Mongolian script and the demand for machine translation actua­lize the creation of a parallel corpus of Buryat written sources in the Mongolian script. …”
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Baliuta, K. A. (2022). Traveling back in time through text (on Ge Fei’s “Jinse”) by К. A. Baliuta

“…The main features of the story include a complex narrative structure represented by episodes tied together in a system of “dream in a dream”, each episode going farther back in time, as well as a complex language style. The text of the story starts with the modern Chinese language and by the end gradually shows more and more similarities to the classical Chinese language wenyan with its classical syntax structure, conjunctions, one-syllable lexis, parallelism, rhythm, etc. …”
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Motivated reasoning in the field: polarization of prose, precedent, and policy in U.S. Circuit Courts, 1891-2013. by Wei Lu, Daniel L Chen

“…Employing natural language processing and supervised machine learning, we scrutinize how judges' language choices and legal citations reflect partisan slant. …”
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Linguistic Summarization and Outlier Detection of Blended Learning Data by Pham Dinh Phong, Pham Thi Lan, Tran Xuan Thanh

“…They can help students and lecturers find the best way to enhance their learning methods and teaching style.…”
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Handwritten Geez Digit Recognition Using Deep Learning by Mukerem Ali Nur, Mesfin Abebe, Rajesh Sharma Rajendran

“…Amharic language is the second most spoken language in the Semitic family after Arabic. …”
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Intelligent Song Recognition via a Hollow‐Microstructure‐Based, Ultrasensitive Artificial Eardrum by Shaopeng Li, Jiangtao Tian, Ke Li, Kemeng Xu, Jiaqi Zhang, Tingting Chen, Yang Li, Hongbo Wang, Qiye Wu, Jinchun Xie, Yongjun Men, Weiping Liu, Xiaodan Zhang, Wenhan Cao, Zhongjie Huang

“…The integrated device exhibits unparalleled (exceeding by 1–2 orders of magnitude compared with reported benchmark samples) sound detection sensitivity, and can accurately identify 100% (for training set) and 97.7% (for test set) of a database of the segments from 77 songs varying in language, style, and singer. Overall, the results highlight the outstanding performance of the hollow‐microstructure‐based sensor, indicating its potential applications in human–machine interaction and wearable acoustical technologies.…”
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Handwritten Urdu Characters and Digits Recognition Using Transfer Learning and Augmentation With AlexNet by Aqsa Rasheed, Nouman Ali, Bushra Zafar, Amsa Shabbir, Muhammad Sajid, Muhammad Tariq Mahmood

“…Although a significant amount of literature exists for automatic recognition of handwritten characters of English and other major languages in the world, there exists a wide research gap due to lack of research for recognition of Urdu language. …”
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EDITORIAL, FOREWORD by Editorial, Foreword

“…It covered subjects which are partially sub/problems of the Human Machine Interaction and behavior influenced by road traffic, as well results from very distant disciplines.…”
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Statistical inference and effect measures in abstracts of major HIV and AIDS journals, 1987–2022: A systematic review by Andreas Stang, Henning Schäfer, Ahmad Idrissi-Yaghir, Christoph M. Friedrich, Matthew P. Fox

“…We applied rule-based text mining and machine learning methodology to detect the presence of confidence intervals, numerical p-values or comparisons of p-values with thresholds, language describing statistical significance, and effect measures for dichotomous outcomes Results: Among 41,730 PubMed entries from the major HIV/AIDS journals, 31,665 contained an abstract. …”
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CoCEC: An Automatic Combinational Circuit Equivalence Checker Based on the Interactive Theorem Prover by Wilayat Khan, Farrukh Aslam Khan, Abdelouahid Derhab, Adi Alhudhaif

“…The interface enables users to enter or load two circuit descriptions written in an easy and natural style. It automatically proves, in few seconds, the equivalence of circuits with as many as 45 variables (3.5 × 1013 states). …”
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AI Tutor: Student's Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation by Fazel Keshtkar, Neelesh Rastogi, Sebastian Chalarca, Syed Ahmad Chan Bukhari

“…We applied Statistical analysis, machine learning, and natural language processing techniques such as PCA, t-SNE, LDA, and sentiment analysis.…”
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Two Decades of Bengali Handwritten Digit Recognition: A Survey by A. B. M. Ashikur Rahman, Md. Bakhtiar Hasan, Sabbir Ahmed, Tasnim Ahmed, Md. Hamjajul Ashmafee, Mohammad Ridwan Kabir, Md. Hasanul Kabir

“…Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of Optical Character Recognition (OCR). Irrespective of language, there are some inherent challenges of HDR, which mostly arise due to the variations in writing styles across individuals, writing medium and environment, inability to maintain the same strokes while writing any digit repeatedly, etc. …”
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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

“…This study aims to compare the efficacy of function word frequency with systemic functional grammar methods in automatically identifying writing styles. Theoretical Framework Systemic Functional Grammar (SFG) is a component of the social semiotic approach to language known as systemic functional linguistics (Halliday & Matthiessen, 2014). …”
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Frequent Statement and Dereference Elimination for Imperative and Object-Oriented Distributed Programs by Mohamed A. El-Zawawy

“…This paper introduces new approaches for the analysis of frequent statement and dereference elimination for imperative and object-oriented distributed programs running on parallel machines equipped with hierarchical memories. The paper uses languages whose address spaces are globally partitioned. …”
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