Showing 141 - 160 results of 349 for search '"language processing"', query time: 0.07s Refine Results
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    Clinical Applications of Machine Learning by Nadayca Mateussi, PhD, Michael P. Rogers, MD, Emily A. Grimsley, MD, Meagan Read, MD, Rajavi Parikh, DO, Ricardo Pietrobon, MD, PhD, Paul C. Kuo, MD

    Published 2024-06-01
    “…This review introduces interpretable predictive machine learning approaches, natural language processing, image recognition, and reinforcement learning methodologies to familiarize end users. …”
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    Article
  5. 145

    Expletive ta in Mandarin Chinese: A Quantitative Study by Yue Yu, Qiurong Zhao

    Published 2022-01-01
    “…The findings not only provide evidence to show that even in radical pro-drop languages such as Mandarin, pleonastics can occur in both object and subject positions but also offer important insights for Chinese natural language processing.…”
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  6. 146

    Parameterization of the Differences in Neural Oscillations Recorded by Wearable Magnetoencephalography for Chinese Semantic Cognition by Xiaoyu Liang, Huanqi Wu, Yuyu Ma, Changzeng Liu, Xiaolin Ning

    Published 2025-01-01
    “…Neural oscillations observed during semantic processing embody the function of brain language processing. Precise parameterization of the differences in these oscillations across various semantics from a time–frequency perspective is pivotal for elucidating the mechanisms of brain language processing. …”
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  7. 147

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

    Published 2021-10-01
    “…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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  8. 148

    A Comparative Study of Some Automatic Arabic Text Diacritization Systems by Ali Mijlad, Yacine El Younoussi

    Published 2022-01-01
    “…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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    Article
  9. 149

    Enhancing Sentiment Analysis with a CNN-Stacked LSTM Hybrid Model by Shao Shuaijie

    Published 2025-01-01
    “…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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  10. 150

    The role of chromatin state in intron retention: A case study in leveraging large scale deep learning models. by Ahmed Daoud, Asa Ben-Hur

    Published 2025-01-01
    “…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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  13. 153

    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

    Published 2022-01-01
    “…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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  14. 154

    Design and Implementation of a Chatbot for Kurdish Language Speakers Using Chatfuel Platform by Hemn Karim Ahmed, Jamal Ali Hussein

    Published 2021-01-01
    “…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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  15. 155

    POS Tagging Bahasa Madura dengan Menggunakan Algoritma Brill Tagger by Nindian Puspa Dewi, Ubaidi Ubaidi

    Published 2020-12-01
    “…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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  16. 156

    Correlation between the Dissemination of Classic English Literary Works and Cultural Cognition in the New Media Era by Weiwei Guo

    Published 2022-01-01
    “…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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  17. 157

    6 Questions for Socially Aware Language Technologies by Diyi Yang

    Published 2021-07-01
    “… Over the last few decades, natural language processing (NLP) has dramatically improved performance and produced industrial applications like personal assistants. …”
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  18. 158

    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

    Published 2025-01-01
    “…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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  19. 159

    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

    Published 2025-02-01
    “…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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  20. 160

    Acquired Dyslexia and Dysgraphia in Chinese by Wengang Yin, Shengxi He, Brendan Stuart Weekes

    Published 2005-01-01
    “…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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