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Christopher D. Manning, Hinrich Schütze (1999)
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains al...
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• Psychology Press eBooks
(2014)
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DOI: https://doi.org/10.4324/9781315802671
Aravind K. Joshi • Science
(1991)
Natural language processing (NLP) is the study of mathematical and computational modeling of various aspects of language and the development of a wide range of systems. These include spoken language systems that integrate speech and natural...
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DOI: https://doi.org/10.1126/science.253.5025.1242
Ali Farghaly, Khaled F. Shaalan • ACM Transactions on Asian Language Information Processing
(2009)
The Arabic language presents researchers and developers of natural language processing (NLP) applications for Arabic text and speech with serious challenges. The purpose of this article is to describe some of these challenges and to present...
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DOI: https://doi.org/10.1145/1644879.1644881
Zsófia Rakovics, Domonkos Sik, Anna Unger, Renáta Németh • Social Sciences and Humanities Open
(2026)
The parliament, as a key component of the public sphere, is both a reflection of and a stage for the post-democratic transition. Our study examines Hungarian parliamentary discourse as an indicator of a transition in which democratic instit...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ssaho.2026.103122
Lorenzo Devilla, Nicla Mercurio • Linguistik Online
(2026)
Since the early twenty-first century, ecological, economic, and geopolitical crises have intensified challenges related to food systems, reshaping dietary practices and individual relationships with the environment. Sustainable food consump...
DOAJ
Open Access (DOAJ)
DOI: 10.13092/csznaa09
Saleh Rahimi, Faramarz Soheili • جامعه شناسی کاربردی
(2025)
IntroductionBibliometric analysis is widely acknowledged as a robust and systematic approach for examining extensive scholarly literature. It serves as a vital tool for mapping the landscape of contemporary research across various academic ...
DOAJ
Open Access (DOAJ)
DOI: 10.22108/jas.2025.144379.2609
Peihua Ma, Si Chen, Wenfan Su, Jiping Sheng et al. • Journal of Agriculture and Food Research
(2025)
This study explores the application of GPT models for automating consumer food survey analysis, focusing on Chinese consumers' acceptance of plant-based foods, cultured meat, insect-based proteins, and microbial proteins. Traditional survey...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jafr.2025.102086
Alina Dushkevych • Філологічні студії
(2025)
The article is devoted to a comprehensive analysis of the resources of forming the English terminological system of inclusive education in the modern educational environment. The role of terminology as a tool for standardizing knowledge, co...
DOAJ
Open Access (DOAJ)
DOI: 10.28925/2412-2491.2025.255
Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo et al. • ACM Computing Surveys
(2021)
Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, and resources to the requirements engineering (RE) process, to...
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Open Access
DOI: https://doi.org/10.1145/3444689
Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf (2019)
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a single dataset. This approach requires a large number of training examples and performs best for well-defined a...
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DOI: https://doi.org/10.18653/v1/n19-5004
Aditya Jain, Gandhar Kulkarni, Vraj Shah • International Journal of Computer Sciences and Engineering
(2018)
Natural language processing is widely discussed and researched topic nowadays. As it is one of the oldest area of research in machine learning it is used in major fields such as machine translation speech recognition and text processing. Na...
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DOI: https://doi.org/10.26438/ijcse/v6i1.161167
Robert Dale, Hermann L. Moisl, HAROLD L. SOMERS • Computational Linguistics
(2001)
Symbolic approaches to natural language processing tokenisation and sentence segmentation lexical analysis parsing techniques semantic analysis discourse structure and intention recognition natural language generation intelligent writing as...
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Open Access
DOI: https://doi.org/10.1162/coli.2000.27.4.602
Salvatore Claudio Fanni, Maria Febi, Gayanè Aghakhanyan, Emanuele Neri • Imaging informatics for healthcare professionals
(2023)
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DOI: https://doi.org/10.1007/978-3-031-25928-9_5
Wen-wai Yim, Meliha Yetişgen, William Proctor Harris, Sharon W. Kwan • JAMA Oncology
(2016)
IMPORTANCE: Natural language processing (NLP) has the potential to accelerate translation of cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of personalized medicine. This technology can harvest im...
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DOI: https://doi.org/10.1001/jamaoncol.2016.0213
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond et al. • Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
(2020)
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu...
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DOI: https://doi.org/10.18653/v1/2020.emnlp-demos.6
• Journal of Pragmatics
(1989)
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DOI: https://doi.org/10.1016/0378-2166(89)90051-9
Andrea Galassi, Marco Lippi, Paolo Torroni • IEEE Transactions on Neural Networks and Learning Systems
(2020)
Attention is an increasingly popular mechanism used in a wide range of neural architectures. The mechanism itself has been realized in a variety of formats. However, because of the fast-paced advances in this domain, a systematic overview o...
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DOI: https://doi.org/10.1109/tnnls.2020.3019893
K. R. Chowdhary • Springer eBooks
(2020)
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DOI: https://doi.org/10.1007/978-81-322-3972-7_19
Gobinda G Chowdhury • Annual Review of Information Science and Technology
(2003)
Previous ARIST chapters (Haas, 1996;Warner, 1987) described a number of theoretical developments that have influenced research in NLP.The most recent theoretical developments can be grouped into four classes: (i) statistical and corpus-base...
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Open Access
DOI: https://doi.org/10.1002/aris.1440370103