Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi by Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho

“…Banyak teknologi/aplikasi yang mengolah bahasa manusia, bidang tersebut bernama Natural Language Processing yang merupakan ilmu yang mempelajari untuk mengolah dan mengekstraksi bahasa manusia pada perkembangan teknologi. …”
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A Comparative Study of Some Automatic Arabic Text Diacritization Systems by Ali Mijlad, Yacine El Younoussi

“…This task, when automated, shows better results for some natural language processing tasks; hence, it is necessary for the field of Arabic language processing. …”
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Enhancing Sentiment Analysis with a CNN-Stacked LSTM Hybrid Model by Shao Shuaijie

“…This paper focuses on developing a new hybrid model to solve sentiment analysis problems in Natural language processing. Sentiment analysis is a key branch of Natural language processing (NLP) and new models with better performance can boost the development of machine learning. …”
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The role of chromatin state in intron retention: A case study in leveraging large scale deep learning models. by Ahmed Daoud, Asa Ben-Hur

“…Complex deep learning models trained on very large datasets have become key enabling tools for current research in natural language processing and computer vision. By providing pre-trained models that can be fine-tuned for specific applications, they enable researchers to create accurate models with minimal effort and computational resources. …”
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Development and validation of an Age-related Language Decline Scale (ALDS) for older adults by Xinan Zhou, Yanping Dong

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Enhancing Persian text summarization through a three-phase fine-tuning and reinforcement learning approach with the mT5 transformer model by Vahid Nejad Mahmood Abadi, Fahimeh Ghasemian

“…In recent years, transformers have emerged as a prominent force in the landscape of natural language processing, particularly in the realm of text summarization. …”
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Sublemma-Based Neural Machine Translation by Thien Nguyen, Huu Nguyen, Phuoc Tran

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Regional Alteration within the Cerebellum and the Reorganization of the Cerebrocerebellar System following Poststroke Aphasia by Xiaotong Zhang, Zhaocong Chen, Na Li, Jingfeng Liang, Yan Zou, Huixiang Wu, Zhuang Kang, Zulin Dou, Weihong Qiu

“…Recently, an increasing number of studies have highlighted the role of the cerebellum in language processing. However, the role of neural reorganization within the cerebellum as well as within the cerebrocerebellar system caused by poststroke aphasia remains unknown. …”
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Design and Implementation of a Chatbot for Kurdish Language Speakers Using Chatfuel Platform by Hemn Karim Ahmed, Jamal Ali Hussein

“…Chatbots are mostly depend on Natural Language Processing (NLP). In this paper, the design and implementation of a chatbot are provided to help Kurdish speakers in using online conversations via texts to find answers instead of direct contact with human agents. …”
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POS Tagging Bahasa Madura dengan Menggunakan Algoritma Brill Tagger by Nindian Puspa Dewi, Ubaidi Ubaidi

“…Salah satunya adalah dengan melakukan penelitian tentang Bahasa Madura dalam bidang Natural Language Processing sehingga kedepannya pembelajaran tentang Bahasa Madura dapat dilakukan melalui media digital. …”
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Correlation between the Dissemination of Classic English Literary Works and Cultural Cognition in the New Media Era by Weiwei Guo

“…The use of natural language processing and knowledge graph technology can improve cultural cognition to promote the dissemination and development of classic English literature, which has become a necessary means of dissemination of classic English literature. …”
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6 Questions for Socially Aware Language Technologies by Diyi Yang

“… Over the last few decades, natural language processing (NLP) has dramatically improved performance and produced industrial applications like personal assistants. …”
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Research of phishing detection technology by Xi ZHANG, Zhi-wei YAN, Hong-tao LI, Guang-gang GENG

“…The current status of phishing scams were analyzed and the data sets and evaluation indicators commonly used in phishing detection were summaried.On this basis,a detailed overview of the typical methods of phishing detection was given,which included blacklist strategies,heuristic methods,visual matching methods,and methods based on machine learning and natural language processing.The comparison and analysis of those methods were given,and furtherly,the challenges and future trends of phishing detection were discussed.…”
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Frozen Weights as Prior for Parameter-Efficient Fine-Tuning by Xiaolong Ma, Peishun Liu, Haojie Gao, Zikang Yan, Ningning Ma, Wenqiang Liu, Xuefang Wang, Ruichun Tang

“…In the fields of natural language processing and computer vision, the emergence of large pre-trained models has led to the adoption of fine-tuning them for downstream tasks as an important paradigm. …”
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Morphologically-analyzed and syntactically-annotated Quran datasetMendeley Data by Majdi Sawalha, Faisal Al-Shargi, Sane Yagi, Abdallah T. AlShdaifat, Bassam Hammo, Mariam Belajeed, Lubna R. Al-Ogaili

“…This paper introduces the Morphologically-Analyzed and Syntactically-Annotated Quran (MASAQ) dataset, a comprehensive resource designed to address the scarcity of annotated Quranic Arabic corpora and facilitate the development of advanced Natural Language Processing (NLP) models. The Quran, being a cornerstone of classical Arabic, presents unique challenges for NLP due to its sacred nature and complex linguistic features. …”
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Large Language Models in Healthcare: A Bibliometric Analysis and Examination of Research Trends by Gencer G, Gencer K

“…The study highlights that neural network applications in diagnostic imaging, natural language processing for clinical documentation, and patient data in the field of general internal medicine, radiology, medical informatics, health care services, surgery, oncology, ophthalmology, neurology, orthopedics and psychiatry have seen significant growth in publications over the past two years. …”
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Acquired Dyslexia and Dysgraphia in Chinese by Wengang Yin, Shengxi He, Brendan Stuart Weekes

“…During the past decade, this methodology has been extended to understanding reading and writing in Chinese leading to new insights about language processing, dyslexia and dysgraphia. The aim of this paper is to review reports of patients who have acquired dyslexia and acquired dysgraphia in Chinese and describe the functional architecture of the reading and writing system. …”
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A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety by Zoie Shui-Yee Wong, Yang Gong, Shin Ushiro

“…Abstract Creating an ontology is the essential step in natural language processing (NLP). To improve patient safety in this era of generative AI, it is crucial to develop a standards-driven, ontology-based architecture for patient safety that can seamlessly integrate with health systems, thereby facilitating effective detection and monitoring potentially preventable harms in healthcare. …”
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Key technologies of AI in customer service system by Zheng WANG, Hua REN, Xuhai LU

“…In the customer service system structure,manual seats,work order processing and other links require a lot of manual operations and participation,the cost is high,the efficiency is relatively low,and there will still be a certain percentage of problems and failures that can’t be found and resolved.In the customer service system,the introduction of artificial intelligence technology can solve these problems to a certain extent,reduce costs and improve the overall efficiency and effectiveness of customer service.The key technologies which could be applied to the customer service system in AI were analyzed,including speech recognition,speech synthesis,and natural language processing.The application of new technology in the customer service system of the operator was discussed.The effect in practical application was illustrated by an example.…”
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Benchmark for Evaluation of Danish Clinical Word Embeddings by Martin Sundahl Laursen, Jannik Skyttegaard Pedersen, Pernille Just Vinholt, Rasmus Søgaard Hansen, Thiusius Rajeeth Savarimuthu

“… In natural language processing, benchmarks are used to track progress and identify useful models. …”
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