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. …”
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Deep Learning in Visual Computing and Signal Processing by Danfeng Xie, Lei Zhang, Li Bai

“…Nowadays, researchers have intensively investigated deep learning algorithms for solving challenging problems in many areas such as image classification, speech recognition, signal processing, and natural language processing. In this study, we not only review typical deep learning algorithms in computer vision and signal processing but also provide detailed information on how to apply deep learning to specific areas such as road crack detection, fault diagnosis, and human activity detection. …”
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Évolutions de l’Intelligence Artificielle : quels enjeux pour l’activité humaine et la relation Humain‑Machine au travail ? by Moustafa Zouinar

“…Over recent years we have seen an unprecedented revival of interest in Artificial Intelligence (AI) due to major technological advances, particularly in the field of machine learning, which extend the capabilities of computers and increase their performance in a large number of domains (language processing, speech understanding, image recognition, robotics, etc.). …”
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The impact of language attrition on language teaching: the dynamics of linguistic knowledge retention and maintenance in multilingualism by Felipe Flores Kupske

“…Language attrition has become a vibrant theme as it has implications for theoretical linguistics, including, for example, the organization of linguistic information in the brain and language processing. Insights from this area also have impact on the study of second language (L2) development and can feed the area of language teaching. …”
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Large Language Models (LLMs) and Causality Extraction from Text by Wlodek Zadrozny

“…Designed for participants with some familiarity with machine learning or natural language processing (NLP), and ideally LLMs, the tutorial should be both accessible and highly relevant. …”
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Features of context the sustainable development report as a reflection of company policy for ESG-principles by T. A. Goroshnikova

“…Based on the analysis, the need to create rules for the interpretation of results related to linguistic features and extracted from sustainability reports when using natural language processing methods was summarized.…”
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AI Powered Chatbots-Driven Assistant in Educational and Commercial Foundations by Ammar Zahary

“…The study also explores the underlying technologies, including natural language processing, machine learning, and knowledge bases that support these chatbots. …”
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Reprezentace genericky maskulinních názvů osob. Teoretická integrace dosavadních poznatků by Lisa Irmen a Ute Linner

“…The theoretical base allows the formulation of general statements on how gender ‑related information influences language processing. Furthermore, it has practical implications for how to implement a gender ‑fair language.…”
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AI Tutor: Transforming Education with Intelligent Learning by Fazel Keshtkar, Sebastian Chalarca, Giulio Bardelli, Allan Ilyasov, Sebastian Torres, Syed Ahmad Chan Bukhari

“…Using Generative AI, Machine Learning, and Natural Language Processing (NLP), our AI Tutor dynamically adjusts instructional content to match student needs, providing real-time feedback and a more interactive learning experience. …”
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LEXCONN: A French Lexicon of Discourse Connectives by Charlotte Roze, Laurence Danlos, Philippe Muller

“…While a lexicon of discourse connectives associated with the relations they express can be very useful for researchers, especially in Natural Language Processing, few projects aim at collecting them exhaustively, and only in a small number of languages. …”
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The role of LLMs in theory building by Aníbal M. Astobiza

“…GPT-4 or GPT-4o), have shown impressive abilities in generating human-like text and performing a variety of natural language processing tasks. However, a fundamental question in the field of artificial intelligence is whether these models can truly represent meaning and assist scientists in building scientific theories. …”
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A Region-based Approach to the Automated Marking of Short Textual Answers by Raheel Siddiqi

“…However, certain purpose-built Natural Language Processing (NLP) techniques can be used for this purpose. …”
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The Effects of Using AI on the Quality of Translational Product: A Reference to Religious Translation by Nida Omar, Kais Amir Kadhim

“…Machine translation and NLP (Natural Language Processing), the subfields of Artificial Intelligence, have radically altered the way we communicate through languages. …”
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Across the Boundary: The Formalization of the Interface Between Episodic Memory and Narrow Syntax Computation of Human Language by Edward Ruoyang Shi

“…A growing number of studies indicate that the hippocampus plays an essential role in language processing as well as episodic memory. However, there is no consensus on how it is engaged in both domains and how it connects the two domains. …”
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Regularizing Data for Improving Execution Time of NLP Model by Thang Dang, Yasufumi Sakai, Tsuguchika Tabaru, Akihiko Kasagi

“…Natural language processing (NLP) is a very important part of machine learning that can be applied to different real applications. …”
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Klasifikasi Laporan Keluhan Pelayanan Publik Berdasarkan Instansi Menggunakan Metode LDA-SVM by Muhammad Alkaff, Andreyan Rizky Baskara, Irham Maulani

“…Therefore, we need a solution that can automatically determine the report's context using Natural Language Processing techniques. This study aims to build automatic report classifications based on report topics addressed to authorized agencies by combining Latent Dirichlet Allocation (LDA) and Support Vector Machine (SVM). …”
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Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study by Jeremy A Balch, Sasank S Desaraju, Victoria J Nolan, Divya Vellanki, Timothy R Buchanan, Lindsey M Brinkley, Yordan Penev, Ahmet Bilgili, Aashay Patel, Corinne E Chatham, David M Vanderbilt, Rayon Uddin, Azra Bihorac, Philip Efron, Tyler J Loftus, Protiva Rahman, Benjamin Shickel

“…Traditional natural language processing approaches—bag-of-words (BoW) and term frequency-inverse document frequency (tf-idf) with linear classifiers—have been used previously for this task but are now being augmented or replaced by large language models (LLMs). …”
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Teknik Identifikasi Fitur Berdasarkan Kalimat Pernyataan Kebutuhan dalam Konteks Pengembangan Software Product Line by M Syauqi Haris, Tri Astoto Kurniawan

“…The pattern of writing a requirement sentence with boilerplate requirements is used as the basis for automatically identifying software features using natural language processing (NLP) tools. In this research, 4 (four) dependency parser rules are proposed, which is one of the pipelines in NLP. …”
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Joint Distribution pada Weighted Majority Vote (WMV) untuk Peningkatan Kinerja Sentiment Analysis Tersupervisi pada Dataset Twitter by Bagus Setya Rintyarna

“…Sentiment analysis adalah teknik komputasi text mining berbasis natural language processing (NLP) untuk mengekstraksi pendapat seseorang yang diungkapkan dalam platform online, termasuk dalam platform microblogging Twitter, salah satu platform microblogging yang paling popular digunakan di Indonesia. …”
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Attention is All Large Language Model Need by Liu Yuxin

“…Single-modal large models can be broadly categorized into three types based on their application domains: Text LLM for Natural Language Processing (NLP), Image LLM for Computer Vision (CV), and Audio LLM for speech interaction. …”
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