ChronoNLP: Exploration and Analysis of Chronological Textual Corpora by Erin Wolfe

“…This article introduces ChronoNLP, a free and open-source web application designed to enable the application of Natural Language Processing (NLP) techniques to textual datasets with a time-based component. …”
Get full text

Large Language Models in side-channel cryptanalysis by Witold Waligóra

“…Recent advancements in large language models (LLMs) have demonstrated their potential beyond conventional natural language processing tasks. This study demonstrates that GPT-4, a state-of-the-art large language model, can semiautonomously generate and execute side-channel attacks, specifically Correlation Power Analysis (CPA) and timing attacks. …”
Get full text

Amazigh spell checker using Damerau-Levenshtein algorithm and N-gram by Youness Chaabi, Fadoua Ataa Allah

“…Natural language processing (NLP) is a rapidly growing research field in computer science and cognitive science. …”
Get full text

Multilingual Automatic Term Extraction in Low-Resource Domains by NGOC TAN LE, Fatiha Sadat

“…With the emergence of the neural networks-based approaches, research on information extraction has benefited from large-scale raw texts by leveraging them using pre-trained embeddings and other data augmentation techniques to deal with challenges and issues in Natural Language Processing tasks. In this paper, we propose an approach using sequence-to-sequence neural networks-based models to deal with term extraction for low-resource domain. …”
Get full text

Big Data Deep Learning: Challenges and Perspectives by Xue-Wen Chen, Xiaotong Lin

“…It has gained huge successes in a broad area of applications such as speech recognition, computer vision, and natural language processing. With the sheer size of data available today, big data brings big opportunities and transformative potential for various sectors; on the other hand, it also presents unprecedented challenges to harnessing data and information. …”
Get full text

Analiza likova hrvatske književnosti pomoću računalnih alata by Lorena Ninčević

“…Basic terms from the fields of natural language processing and narratology are explained, since they are the theoretical and practical basis of the research. …”
Get full text

Editorial: Artificial Intelligence and Cybersecurity in Pervasive Computing by Ji-Jian Chin

“…This issue features seven articles on these intersections, including four AI articles exploring natural language processing and computer vision, and three cybersecurity articles covering cryptography, medical devices, and maritime security.…”
Get full text

Processing of Person and Number features in Turkish: An Event Related Potentials Study by Mehmet AYGÜNEŞ

“…Agreement is one of the most important as well as the most studied linguistic features in the field of language processing. There are two views regarding the processing of Person and Number features. …”
Get full text

Automated Extraction of Geographic Locations from Natural Language Text: Implications for Process Control and Mechanism by Ashutosh Das, B. Sahithi, Pallavi Choudhury, Neelamadhab Padhy

“…<b>Context:</b> Natural Language Processing (NLP) techniques, along with database management tools and fuzzy string-matching libraries, play a pivotal role in automating the extraction of geographic locations from textual data [...]…”
Get full text

Steganalysis for stegotext based on text redundancy by LUO Gang, SUN Xing-ming

“…Targeted at the text steganography with mimic model,a steganalysis method based on source redundancy for stegotexts was proposed.This method processed the text and the words in it as the m-order Markov source and the source symbols respectively,then computed the redundancy of the source.Through analyzing the relationship between the re-dundancy and the size of the text,the existence of hidden information could be determined.With testing of 8 000 ste-gotexts produced by the four main softwares NiceText,Texto,Stego and Sams Big Play Maker,and 2 400 normal texts randomly sampled from innocuous texts downloaded from the Internet,the results show that the false positive rate of our steganalysis method is 0.5% and the false negative rate is 3.9%.Experiments and analyzing results indicate that the steganalysis method can effectively detect stegotexts based on natural language processing with mimic model.…”
Get full text

Generative AI for Named Entity Recognition in Low-Resource Language Nepali by Sameer Neupane, Jeevan Chapagain, Nobal B. Niraula, Diwa Koirala

“… Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs), has significantly advanced Natural Language Processing (NLP) tasks, such as Named Entity Recognition (NER), which involves identifying entities like person, location, and organization names in text. …”
Get full text

n-gram-based approach to composer recognition by Jacek WOŁKOWICZ, Zbigniew KULKA, Vlado KEŠELJ

“…This paper describes how tools provided by Natural Language Processing and Information Retrieval can be applied to music. …”
Get full text

Artificial Intelligence–Powered Training Database for Clinical Thinking: App Development Study by Heng Wang, Danni Zheng, Mengying Wang, Hong Ji, Jiangli Han, Yan Wang, Ning Shen, Jie Qiao

“…Case extraction was performed at a hospital’s case data center, and the best-matching cases were differentiated through natural language processing, word segmentation, synonym conversion, and sorting. …”
Get full text

Structural brain network in relation to language in school-aged extremely preterm children: A diffusion tensor imaging study by M. Boumeester, E. Blom, T. Boerma, F. Lammertink, M.P. van den Heuvel, J. Dudink, M.J.N.L. Benders, E. Roze

“…These findings suggest that extremely preterm children rely mostly on their left hemisphere during language processing, which is similar to typically developing children. …”
Get full text

Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“… Abstract BackgroundThe application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. …”
Get full text

A Dataset of Real and Synthetic Speech in Ukrainian by Khrystyna Lipianina-Honcharenko, Hennadii Bohuta, Adam Ivaniush, Mariana Soia

“…Abstract This work is dedicated to the analysis and evaluation of the DRSSU dataset: A Dataset of Real and Synthetic Speech in Ukrainian, created to support research in the field of natural language processing and speech recognition. The dataset contains a unique collection of audio recordings that include both real and synthesized Ukrainian speech, providing unprecedented opportunities for improving machine learning algorithms aimed at speech recognition and analysis. …”
Get full text

Building morphological analyzer for Nepali by Shahid Mushtaq Bhat, Rupesh Rai

“… Morphological analyzer is a fundamental tool in Natural Language Processing (NLP) that generates the morphological analyses of a given word-form. …”
Get full text

BRAIN DAMAGES AND THEIR IMPACTS ON SPEECH PRODUCTION by Jérôme SHAKO LOSEKE, KALONJI MUTEBA & Richard KAYEMBE MBOLELA

“…The findings highlight the diverse ways in which brain function, language processing, and motor control can be disrupted, leading to a variety of speech and communication challenges. …”
Get full text

Theoretical Considerations on the Literacy-Metacognition Nexus: Exploring the Linguistic-Cognitive Landscape of Young Multilingual Minds by Barbara Hofer, Birgit Spechtenhauser

“…Conclusions: We argue that the three dimensions are strongly correlated and that this correlation comes with important implications for language learning, language processing, and language development. However, the exact nature of these correlations is yet to be established.…”
Get full text

Which OCR toolset is good and why : A comparative study by Pooja Jain, Kavita Taneja, Harmunish Taneja

“… Optical Character Recognition (OCR) is a very active research area in many scientific disciplines like pattern recognition, natural language processing (NLP), computer vision, biomedical informatics, machine learning and artificial intelligence. …”
Get full text