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Статті в журналах з теми "Language anomaly"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 липня 2025

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1

Muhajirin, Muhajirin, Nazli Ismail, and Bukhari Bukhari. "The Computation of Residual and Regional Anomaly of Gravity Method Data By Polynomial Filter Using Microsoft Excel." Journal of Aceh Physics Society 9, no. 2 (2020): 37–41. http://dx.doi.org/10.24815/jacps.v9i2.15745.

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Eksplorasi metode gravitasi umumnya dilakukan untuk mencari objek di bawah permukaan yang dangkal sehingga perlu dilakukan pemisahan anomali residual dan regional dari anomali Bouguer lengkap. Perhitungan anomali residual biasanya menggunakan software khusus untuk pengolahan data geofisika yang berlisensi atau algoritma dengan bahasa pemrograman, sedangkan program Microsoft Excel pada PC dan notebook biasa digunakan untuk perhitungan polinomial pada pengolahan data statistik. Penelitian ini memperkenalkan cara menghitung anomali residual menggunakan Microsoft Excel dengan filter polinomial. Ha

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2

Ж. А. Дягілєва. "Lexical and semantic means of verbalization of the concept “ANOMALIE” in German." MESSENGER of Kyiv National Linguistic University. Series Philology 23, no. 2 (2021): 40–46. http://dx.doi.org/10.32589/2311-0821.2.2020.222741.

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The article deals with the study of lexical and semantic means of verbalization of the concept “Anomalie”in the German language. It has been determined that any anomaly is associated with the existence of the norm.Each culture has its own ideas about the norm and anomaly. The terms “anomie” and “anomaly” have beendistinguished. The ontological, sociological and psychological aspect of studying the analyzed concept havebeen examined. The semantic field “anomaly” in the German language has been described. The etymologyand semantic composition of the lexemes that form the core of the analyzed fie

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3

Pawłowska, Monika, Sarah Robinson, and Amebu Seddoh. "Detection of Lexical and Morphological Anomalies by Children With and Without Language Impairment." Journal of Speech, Language, and Hearing Research 57, no. 1 (2014): 236–46. http://dx.doi.org/10.1044/1092-4388(2013/12-0241).

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Purpose The abilities of 5-year-old children with and without language impairment (LI) to detect anomalies involving lexical items and grammatical morphemes in stories were compared. The influence of sentence versus discourse context on lexical anomaly detection rates was explored. Method The participants were read 3 story scripts and asked to detect the anomalies embedded in them. Results Typically developing (TD) children outperformed their peers with LI across the board. For both groups, lexical anomalies were easier to detect than morphological anomalies. Similarly, anomalous nouns were ea

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4

Rangøy, Øyvind. "Train of Language, Train of Thought: Notes on an Exophonic Anomaly." Interlitteraria 26, no. 1 (2021): 235–48. http://dx.doi.org/10.12697/il.2021.26.1.16.

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The creation of poetry with literary value in a non-native language often invites questions about how this is possible to achieve. This question, however, can be turned around: is there something in being an exophonic poet that, rather than being an obstacle, could make the development and maturing of a poetic language possible? Adam Zagajewski writes that ardor, not irony, can be primary building blocks, and about the ideal of being ‘in between’. Ben Lerner writes about the sources of Hatred of Poetry and sees poetry as a potential that can never be completely realised. Being between language

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5

Yu, Jiaqi, Yang Gao, Hong Yang, Zhihong Tian, Peng Zhang, and Xingquan Zhu. "Automated graph anomaly detection with large language models." Knowledge-Based Systems 324 (August 2025): 113809. https://doi.org/10.1016/j.knosys.2025.113809.

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6

Mallon, Mick. "An ephemeral anomaly. The metamorphoses of the Eskimo Language School: 1968-1999." Études/Inuit/Studies 29, no. 1-2 (2006): 239–49. http://dx.doi.org/10.7202/013943ar.

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Abstract This is an informal history of the now defunct Eskimo Language School and its successors from 1968 to its demise in 1999. The Eskimo Language School was an institution set up by the Department of Indian Affairs and Northern Development of the federal government of Canada in order to provide Inuktitut as second language training to federal and North West Territorial employees. Private students were also admitted if there was space. It could therefore be considered an early effort to ameliorate the effects of the language shift from Inuktitut to English that was the inevitable result of

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7

Dhieb, Mohsen. "When places change their names on maps. Cases study from the Arab world." Proceedings of the ICA 1 (May 16, 2018): 1–5. http://dx.doi.org/10.5194/ica-proc-1-28-2018.

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The transcription of geographical names on maps in one given language is a very complex process. Depending on the used language, toponyms are mostly deformed from their natural language. In the Arab world, this deformation is treated in various ways. In many cases, Arabic place names suffer a double distortion when first transcribed from Arabic or another original language into French or English, and second when taking the same way back. Through a review of examples from some Arab place names, a few cases are analyzed to reveal the mechanisms of such anomaly and a strategy is recommended to av

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8

Laeli, Anita Fatimatul, Fitri Amilia, Slamet Setiawan, and Nurkamilah Nurkamilah. "Language and literacy planning anomaly: A case study on detached fishermen’s children from their ethnic language." BAHASTRA 45, no. 1 (2025): 103–13. https://doi.org/10.26555/bs.v45i1.1322.

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Indonesia is a multilingual country that has various ethnic languages based on its ethnicity and region. For that, maintaining the ethnic language is a crucial issue in Indonesia. The purpose of this study is to portray fisherman children’s ability to read in the ethnic language (Madurese language) and investigate how the local Education policy supports the ethnic language of the fisherman community. The present study approach employed a mixed-method design. Sixteen (aged around 10 – 11 years old) Madurese children were involved in this study. Reading aloud, reading comprehension tests, and in

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9

Blust, Robert. "Seimat Vowel Nasality: A Typological Anomaly." Oceanic Linguistics 37, no. 2 (1998): 298. http://dx.doi.org/10.2307/3623412.

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10

Abrusán, Márta. "Semantic Anomaly, Pragmatic Infelicity, and Ungrammaticality." Annual Review of Linguistics 5, no. 1 (2019): 329–51. http://dx.doi.org/10.1146/annurev-linguistics-011718-011938.

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A major goal of modern syntax has been to find principles that rule out sentences that seem ungrammatical. To achieve this goal, it has been proposed that syntactically odd (or ungrammatical) sentences can be distinguished empirically and theoretically from semantically odd (or semantically anomalous) sentences. However, sometimes it is not clear why a sentence is “weird,” which has repercussions for our syntactic and semantic theories. According to a number of proposals, semantic and pragmatic processes can lead to weirdness that empirically feels more like ungrammaticality than semantic oddn

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11

Zhou, Yihan, Yan Chen, Xuanming Rao, Yukang Zhou, Yuxin Li, and Chao Hu. "Leveraging Large Language Models and BERT for Log Parsing and Anomaly Detection." Mathematics 12, no. 17 (2024): 2758. http://dx.doi.org/10.3390/math12172758.

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Computer systems and applications generate large amounts of logs to measure and record information, which is vital to protect the systems from malicious attacks and useful for repairing faults, especially with the rapid development of distributed computing. Among various logs, the anomaly log is beneficial for operations and maintenance (O&M) personnel to locate faults and improve efficiency. In this paper, we utilize a large language model, ChatGPT, for the log parser task. We choose the BERT model, a self-supervised framework for log anomaly detection. BERT, an embedded transformer encod

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12

Ding, Hanyu, Yawei Du, and Zhengyu Xia. "Urban Road Anomaly Monitoring Using Vision–Language Models for Enhanced Safety Management." Applied Sciences 15, no. 5 (2025): 2517. https://doi.org/10.3390/app15052517.

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Abnormal phenomena on urban roads, including uneven surfaces, garbage, traffic congestion, floods, fallen trees, fires, and traffic accidents, present significant risks to public safety and infrastructure, necessitating real-time monitoring and early warning systems. This study develops Urban Road Anomaly Visual Large Language Models (URA-VLMs), a generative AI-based framework designed for the monitoring of diverse urban road anomalies. The InternVL was selected as a foundational model due to its adaptability for this monitoring purpose. The URA-VLMs framework features dedicated modules for an

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13

Robinson, E. J. "Young children's detection of semantic anomaly." First Language 12, no. 35 (1992): 207–22. http://dx.doi.org/10.1177/014272379201203506.

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14

Eom, Chanyoung. "Long-Run Performance Of U.S. Seasoned Equity Offerings After The Year 1995." Journal of Applied Business Research (JABR) 30, no. 5 (2014): 1305. http://dx.doi.org/10.19030/jabr.v30i5.8787.

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<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 10pt; mso-fareast-font-family: &quot;Times New Roman&quot;; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">This paper questions if the anomaly in the events of seasoned equity offerings has remained significant after it was first documented and analyzed in the year 1995. I find that U.S. domestic firms issuing primary and combined SEOs underperform in the three years after issuance between 1970 and 1994, while the same underperformance is not docu

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15

Knight, Deborah. "The Anomaly of Literal Meaning in Davidson's Philosophy of Language." Philosophy Today 36, no. 1 (1992): 20–38. http://dx.doi.org/10.5840/philtoday199236132.

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16

Martins, J. F., J. A. Dente, A. J. Pires, and R. Vilela Mendes. "Language identification of controlled systems: modeling, control, and anomaly detection." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 31, no. 2 (2001): 234–42. http://dx.doi.org/10.1109/5326.941846.

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17

Schiele, Tobias, Daria Kern, Anjali DeSilva, and Ulrich Klauck. "Low-shot Visual Anomaly Detection with Multimodal Large Language Models." Procedia Computer Science 246 (2024): 2587–96. http://dx.doi.org/10.1016/j.procs.2024.09.439.

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18

Zulkaromi, Muhammad, Imam Setiadi, Suharno Suharno, Bagus Sapto Mulyatno, Nandi Haerudin, and Istifani Ferucha. "IDENTIFICATION OF HORST AND GRABEN STRUCTURAL PATTERNS USING GRAVITY AND SECOND VERTICAL DERIVATIVE (SVD) METHODS IN THE LUBUKSIKAPING AREA OF WEST SUMATERA." Indonesian Physical Review 4, no. 3 (2021): 153–65. http://dx.doi.org/10.29303/ipr.v4i3.118.

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The Lubuksikaping area is located between the main fault branching of the Sumateran Fault so it can be seen that there are many quite complex structures. This research was conducted to determine the structure pattern of the high (horst) and low (graben) that formed in the sub-surface of the Lubuksikaping area, West Sumatera. This research uses gravity data which will then be carried out by spectral analysis, upward continuation, separation of regional and residual anomalies, and Second Vertical Derivative (SVD) analysis. Furthermore, 2D forward modeling is carried out to determine the correlat

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19

Khan, Hamid Masood, Fazal Masud Khan, Aurangzeb Khan, Muhammad Zubair Asghar, and Daniyal M. Alghazzawi. "Anomalous Behavior Detection Framework Using HTM-Based Semantic Folding Technique." Computational and Mathematical Methods in Medicine 2021 (March 16, 2021): 1–14. http://dx.doi.org/10.1155/2021/5585238.

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Upon the working principles of the human neocortex, the Hierarchical Temporal Memory model has been developed which is a proposed theoretical framework for sequence learning. Both categorical and numerical types of data are handled by HTM. Semantic Folding Theory (SFT) is based on HTM to represent a data stream for processing in the form of sparse distributed representation (SDR). For natural language perception and production, SFT delivers a solid structural background for semantic evidence description to the fundamentals of the semantic foundation during the phase of language learning. Anoma

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20

Wu, Peng, Xuerong Zhou, Guansong Pang, et al. "VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 6 (2024): 6074–82. http://dx.doi.org/10.1609/aaai.v38i6.28423.

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The recent contrastive language-image pre-training (CLIP) model has shown great success in a wide range of image-level tasks, revealing remarkable ability for learning powerful visual representations with rich semantics. An open and worthwhile problem is efficiently adapting such a strong model to the video domain and designing a robust video anomaly detector. In this work, we propose VadCLIP, a new paradigm for weakly supervised video anomaly detection (WSVAD) by leveraging the frozen CLIP model directly without any pre-training and fine-tuning process. Unlike current works that directly feed

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21

Cai, Mingfeng. "Research on Network Traffic Anomaly Detection Method Based on Python." Academic Journal of Science and Technology 4, no. 1 (2022): 121–24. http://dx.doi.org/10.54097/ajst.v4i1.3594.

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Abnormal traffic is the traffic that differs from the normal range of network services. Objective social and natural phenomena, network equipment failures on hardware, and man-made malicious attacks can all lead to abnormal network traffic. Python is a computer programming language that can realize cross-platform interaction, and it is also an object-oriented explanatory and interactive scripting language. Based on this, this paper studies the network traffic anomaly detection method based on Python. By sampling the data sets divided by each layer with different strategies, multiple balanced s

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22

Holland, Jocelyn, and Joel B. Lande. "On the Paradigmatic Force of Anomaly." MLN 134, no. 3 (2019): 527–33. http://dx.doi.org/10.1353/mln.2019.0041.

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23

Busareva, Sabina Gadir-kyzy. "On the anniversary of the scholar. Language and the world in T.B. Radbil's research." Communication studies 10, no. 4 (2023): 860–65. http://dx.doi.org/10.24147/2413-6182.2023.10(4).860-865.

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The publication briefly describes T.B. Radbil's research activity and the results of his long term research in the theory of linguistic anomaly, logical analysis of language, linguistic conceptualization of the world, creative linguistics, active processes in modern Russian language and methodology of forensic linguistic expertise.

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24

Cichosz, Paweł. "Unsupervised modeling anomaly detection in discussion forums posts using global vectors for text representation." Natural Language Engineering 26, no. 5 (2020): 551–78. http://dx.doi.org/10.1017/s1351324920000066.

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AbstractAnomaly detection can be seen as an unsupervised learning task in which a predictive model created on historical data is used to detect outlying instances in new data. This work addresses possibly promising but relatively uncommon application of anomaly detection to text data. Two English-language and one Polish-language Internet discussion forums devoted to psychoactive substances received from home-grown plants, such as hashish or marijuana, serve as text sources that are both realistic and possibly interesting on their own, due to potential associations with drug-related crime. The

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25

Osterhout, Lee, and Phillip J. Holcomb. "Event-related potentials and syntactic anomaly: Evidence of anomaly detection during the perception of continuous speech." Language and Cognitive Processes 8, no. 4 (1993): 413–37. http://dx.doi.org/10.1080/01690969308407584.

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26

Ryciak, Piotr, Katarzyna Wasielewska, and Artur Janicki. "Anomaly Detection in Log Files Using Selected Natural Language Processing Methods." Applied Sciences 12, no. 10 (2022): 5089. http://dx.doi.org/10.3390/app12105089.

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In this article, we address the problem of detecting anomalies in system log files. Computer systems generate huge numbers of events, which are noted in event log files. While most of them report normal actions, an unusual entry may inform about a failure or malware infection. A human operator may easily miss such an entry; therefore, anomaly detection methods are used for this purpose. In our work, we used an approach known from the natural language processing (NLP) domain, which operates on so-called embeddings, that is vector representations of words or phrases. We describe an improved vers

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27

Imamura, Makoto, Takeshi Takeuchi, Shinji Kitagami, Mikihito Kanno, and Tatsuji Munaka. "Time Series Data Query Language TPQL for Anomaly Detection in Facility." IEEJ Transactions on Electronics, Information and Systems 134, no. 1 (2014): 156–67. http://dx.doi.org/10.1541/ieejeiss.134.156.

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28

Liang, Jiayu, Jiayan Fan, Zhen Feng, and Jing Xin. "Anomaly Detection in Tax Filing Documents Using Natural Language Processing Techniques." Applied and Computational Engineering 144, no. 1 (2025): 80–89. https://doi.org/10.54254/2755-2721/2025.21736.

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This paper introduces a novel approach to tax fraud detection utilizing natural language processing techniques for identifying anomalies in tax filing documents. The methodology integrates tax-domain specific BERT embeddings with bidirectional LSTM networks to capture contextual relationships within tax documents that traditional numerical analysis might overlook. We present a multi-component ensemble framework that processes both structured and unstructured components of tax filings, extracting semantic relationships between financial entities while maintaining sensitivity to numerical incons

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29

Gerrits, Robin, Helena Verhelst, and Guy Vingerhoets. "Mirrored brain organization: Statistical anomaly or reversal of hemispheric functional segregation bias?" Proceedings of the National Academy of Sciences 117, no. 25 (2020): 14057–65. http://dx.doi.org/10.1073/pnas.2002981117.

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Humans demonstrate a prototypical hemispheric functional segregation pattern, with language and praxis lateralizing to the left hemisphere and spatial attention, face recognition, and emotional prosody to the right hemisphere. In this study, we used fMRI to determine laterality for all five functions in each participant. Crucially, we recruited a sample of left-handers preselected for atypical (right) language dominance (n= 24), which allowed us to characterize hemispheric asymmetry of the other functions and compare their functional segregation pattern with that of left-handers showing typica

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30

Zhang, Linghao, Junwei Kuang, Yufei Teng, Siyu Xiang, Lin Li, and Yingjie Zhou. "LEAD-Net: Semantic-Enhanced Anomaly Feature Learning for Substation Equipment Defect Detection." Processes 13, no. 8 (2025): 2341. https://doi.org/10.3390/pr13082341.

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Substation equipment defect detection is a critical aspect of ensuring the reliability and stability of modern power grids. However, existing deep-learning-based detection methods often face significant challenges in real-world deployment, primarily due to low detection accuracy and inconsistent anomaly definitions across different substation environments. To address these limitations, this paper proposes the Language-Guided Enhanced Anomaly Power Equipment Detection Network (LEAD-Net), a novel framework that leverages text-guided learning during training to significantly improve defect detect

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31

Aditya, Michael Rio, and Christine Dewi. "Optimisasi Pengecekan Anomali pada Proses Job: Analisis Waktu dan Data untuk Identifikasi Anomali yang Efisien." Jurnal Indonesia : Manajemen Informatika dan Komunikasi 5, no. 2 (2024): 1819–32. http://dx.doi.org/10.35870/jimik.v5i2.737.

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The use of services in various software program contexts has become vital. Anomalies, whether in small or large scale, can disrupt the function of a software and impact a company's business processes. Therefore, the process of anomaly identification is crucial to ensure optimal software performance. This research aims to optimize the anomaly identification process in software services at PT. XYZ Tbk. Currently, information about anomalies is obtained through manual checks by the system operator team, which involves checking each job one by one, consuming a lot of time and potentially leading t

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Wang, Jingxin, Guohan Li, Jiaqi Liu, Zhengyi Xu, Xinrong Chen, and Jianming Wei. "RelVid: Relational Learning with Vision-Language Models for Weakly Video Anomaly Detection." Sensors 25, no. 7 (2025): 2037. https://doi.org/10.3390/s25072037.

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Weakly supervised video anomaly detection aims to identify abnormal events in video sequences without requiring frame-level supervision, which is a challenging task in computer vision. Traditional methods typically rely on low-level visual features with weak supervision from a single backbone branch, which often struggles to capture the distinctive characteristics of different categories. This limitation reduces their adaptability to real-world scenarios. In real-world situations, the boundary between normal and abnormal events is often unclear and context-dependent. For example, running on a

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Genevieve Okafor, Ehisuoria E. Akhuemonkhan, Chibuzor Njoku, Evelyn Gachui, Ifeoma Naibe, and Aniel K. Diala. "The future of generative artificial intelligence (AI) in fraud detection analysis." International Journal of Management & Entrepreneurship Research 7, no. 4 (2025): 294–98. https://doi.org/10.51594/ijmer.v7i4.1875.

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As financial fraud schemes grow increasingly sophisticated, traditional detection models struggle to keep pace with the evolving threat landscape. Generative Artificial Intelligence (AI), particularly models like Generative Adversarial Networks (GANs) and Large Language Models (LLMs), are emerging as transformative tools in the realm of fraud detection. These models enable the creation of synthetic datasets, simulate fraudulent behaviors, and enhance the accuracy of anomaly detection systems. By generating realistic fraud scenarios, generative AI enhances predictive modeling and supports proac

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Zelenin, A. V. "Syntactic anomaly: "ot slova sovsem" ("from the phrase at all")." Russian language at school 83, no. 1 (2022): 67–77. http://dx.doi.org/10.30515/0131-6141-2022-83-1-67-77.

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The article aims to present a comprehensive sociolinguistic and expressive-syntactic analysis of the phrase "ot slova sovsem" ("from the phrase at all") which has become widespread in the Russian language since the beginning of the XXIst century. Computer slang is a possible source of this fixed phrase scheme; its field structure consists of the core ot slova and the periphery zone sovsem. The article hypothesizes that it is feasible to consider this model as an agrammatism and a parcelled construction. The formation of this fixed phrase scheme was accompanied by semantic-pragmatic and grammat

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Chang, Yuyuan, Nurbol Luktarhan, Jingru Liu, and Qinglin Chen. "ETCNLog: A System Log Anomaly Detection Method Based on Efficient Channel Attention and Temporal Convolutional Network." Electronics 12, no. 8 (2023): 1877. http://dx.doi.org/10.3390/electronics12081877.

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The scale of the system and network applications is expanding, and higher requirements are being put forward for anomaly detection. The system log can record system states and significant operational events at different critical points. Therefore, using the system log for anomaly detection can help with system maintenance and avoid unnecessary loss. The system log has obvious timing characteristics, and the execution sequence of the system log has a certain dependency relationship. However, sometimes the length of sequence dependence is long. To handle the problem of longer sequence logs in an

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ROCHE, GERALD, and HIROYUKI SUZUKI. "Tibet's Minority Languages: Diversity and endangerment." Modern Asian Studies 52, no. 4 (2018): 1227–78. http://dx.doi.org/10.1017/s0026749x1600072x.

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AbstractAsia is the world's most linguistically diverse continent and its diversity largely conforms to established global patterns that correlate linguistic diversity with biodiversity, latitude, and topography. However, one Asian region stands out as an anomaly in these patterns—Tibet, which is often portrayed as linguistically homogenous. A growing body of research now suggests that Tibet is linguistically diverse. In this article, we examine this literature in an attempt to quantify Tibet's linguistic diversity. We focus on the minority languages of Tibet—languages that are neither Chinese

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Gu, Zhaopeng, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, and Jinqiao Wang. "AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 3 (2024): 1932–40. http://dx.doi.org/10.1609/aaai.v38i3.27963.

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Large Vision-Language Models (LVLMs) such as MiniGPT-4 and LLaVA have demonstrated the capability of understanding images and achieved remarkable performance in various visual tasks. Despite their strong abilities in recognizing common objects due to extensive training datasets, they lack specific domain knowledge and have a weaker understanding of localized details within objects, which hinders their effectiveness in the Industrial Anomaly Detection (IAD) task. On the other hand, most existing IAD methods only provide anomaly scores and necessitate the manual setting of thresholds to distingu

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38

Elston-Güttler, Kerrie E., and John N. Williams. "First language polysemy affects second language meaning interpretation: evidence for activation of first language concepts during second language reading." Second Language Research 24, no. 2 (2008): 167–87. http://dx.doi.org/10.1177/0267658307086300.

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The present study investigates the influence of first language (L1) lexicalization patterns on the processing of second language (L2) words in sentential contexts by advanced German learners of English. The focus was on cases where a polysemous word in the L1 is realized by independent words in the L2, e.g. German Blase realized by English bubble and blister. An anomaly detection task was used in which participants had to indicate whether a target word formed an acceptable completion to a sentence. The critical condition was where the other sense ( blister) of the translation equivalent Blase

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39

Guan, Wei, Jian Cao, Jianqi Gao, Haiyan Zhao, and Shiyou Qian. "DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 11 (2025): 11735–44. https://doi.org/10.1609/aaai.v39i11.33277.

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Detecting anomalies in business processes is crucial for ensuring operational success. While many existing methods rely on statistical frequency to detect anomalies, it's important to note that infrequent behavior doesn't necessarily imply undesirability. To address this challenge, detecting anomalies from a semantic viewpoint proves to be a more effective approach. However, current semantic anomaly detection methods treat a trace (i.e., process instance) as multiple event pairs, disrupting long-distance dependencies. In this paper, we introduce DABL, a novel approach for detecting semantic an

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40

Wilks, Yorick, Micah Clark, Tomas By, Adam Dalton, and Ian Perera. "CUBISM: Belief, anomaly and social constructs." Interaction Studies 15, no. 3 (2014): 388–403. http://dx.doi.org/10.1075/is.15.3.02wil.

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We introduce the CUBISM system for the analysis and deep understanding of multi-participant dialogues. CUBISM brings together two typically separate forms of discourse analysis: semantic analysis and sociolinguistic analysis. In the paper proper, we describe and illustrate major components of the CUBISM system, and discuss the challenge posed by the system’s ultimate purpose, which is to automatically detect anomalous changes in participants’ expressed or implied beliefs about the world and each other, including shifts toward or away from cultural and community norms.

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41

Meira, Jorge, João Carneiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Paulo Novais, and Goreti Marreiros. "Anomaly Detection on Natural Language Processing to Improve Predictions on Tourist Preferences." Electronics 11, no. 5 (2022): 779. http://dx.doi.org/10.3390/electronics11050779.

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Argumentation-based dialogue models have shown to be appropriate for decision contexts in which it is intended to overcome the lack of interaction between decision-makers, either because they are dispersed, they are too many, or they are simply not even known. However, to support decision processes with argumentation-based dialogue models, it is necessary to have knowledge of certain aspects that are specific to each decision-maker, such as preferences, interests, and limitations, among others. Failure to obtain this knowledge could ruin the model’s success. In this work, we sought to facilita

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42

Rezaei, Hadiseh, Rahim Taheri, and Mohammad Shojafar. "FedLLMGuard: A federated large language model for anomaly detection in 5G networks." Computer Networks 269 (September 2025): 111473. https://doi.org/10.1016/j.comnet.2025.111473.

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43

C V, Maheshwaran, and Amirdavarshni V. "AI-Driven Approaches to Enhance Cybersecurity in Financial Transactions." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem37015.

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A surge in digital monetary transactions has resulted in a rise in cyber threats on such platforms. Conventional security measures are slowly eroding and are, therefore, failing to a great extent in curbing these emerging risks. Artificial Intelligence (AI) holds out much promise toward robust cybersecurity through mechanisms with machine learning and anomaly detection techniques, especially natural language processing. This paper tries to explore technical insight into the AI-based framework, approaches, applications, benefits, issues, ethical concerns, and the way forward for the security of

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44

Radbil, Timur B. "Sense-forming functions of language anomalies in polycode texts of advertising medical products and services." CURRENT ISSUES IN PHILOLOGY AND PEDAGOGICAL LINGUISTICS, no. 2 (June 25, 2025): 100–116. https://doi.org/10.29025/2079-6021-2025-2-100-116.

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The paper examines the linguacreative potential of language anomaly models of different types in polycode texts advertising medical products and services. The subject of the study is the sense-generating mechanisms of language anomalies in advertising, the effect of which is enhanced by the new quality of information created as a result of the verbal and non-verbal components interaction of the advertising content. The author’s methodology of complex (linguasemiotic, communicative and pragmatic, and cognitive and discursive) analysis of polycode texts is used. The material of the study is an a

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Sari, Yeyen Novita, Anindya Wirasatriya, Kunarso Kunarso, Baskoro Rochaddi, and Gentur Handoyo. "Variabilitas Arus Permukaan Di Perairan Samudra Hindia Selatan Jawa." Indonesian Journal of Oceanography 2, no. 1 (2020): 1–7. http://dx.doi.org/10.14710/ijoce.v2i1.6785.

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Arus laut merupakan sirkulasi dari pergerakkan massa air laut secara horizontal maupun vertikal dari satu lokasi ke lokasi yang lain untuk mencapai kesetimbangan dan terjadi secara kontinue. Letak geografis Selatan Jawa berada pada sistem angin munson yang menyebabkan kondisi oseanografi perairan dipengaruhi oleh sistem munson, serta dipengaruhi oleh anomali variabilitas iklim. Penelitian ini dilakukan dengan tujuan untuk mengetahui variasi musiman arus permukaan dan mekanisme pembentukan arus permukaan di Perairan Samudra Hindia Selatan Jawa. Penelitian ini menggunakan data model reanalisis a

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46

Ma, Jitao, Weiying Xie, Hangyu Ye, Daixun Li, and Leyuan Fang. "Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 6 (2025): 5964–72. https://doi.org/10.1609/aaai.v39i6.32637.

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Zero-shot generalized anomaly detection (ZGAD) plays a critical role in industrial automation and health screening. Recent studies have shown that ZGAD methods built on visual-language models (VLMs) like CLIP have excellent cross-domain detection performance. Different from other computer vision tasks, ZGAD needs to jointly optimize both image-level anomaly classification and pixel-level anomaly segmentation tasks for determining whether an image contains anomalies and detecting anomalous parts of an image, respectively, this leads to different granularity of the tasks. However, existing metho

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47

Nurafifah, Ulfa Oktaviani, Muhammad Zainuri, and Anindya Wirasatriya. "Pengaruh ENSO dan IOD Terhadap Distribusi Suhu Permukaan Laut dan Klorofil-a Pada Periode Upwelling di Laut Banda." Indonesian Journal of Oceanography 4, no. 3 (2022): 74–85. http://dx.doi.org/10.14710/ijoce.v4i3.14971.

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Laut Banda merupakan suatu perairan yang memiliki bentuk seperti cekungan (basin). Laut ini memisahkan paparan sunda di sebelah barat dan paparan sahul di sebelah timur. Laut Banda memiliki karakteristik oseanografi yang sangat menarik karena sebagai jalur perlintasan ARLINDO. Variabilitas iklim ENSO dan IOD memiliki keterkaitan terhadap SPL dan klorofil-a. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh dari ENSO dan IOD terhadap distribusi SPL dan klorofil-a pada periode upwelling di Laut Banda. Penelitian ini menggunakan data suhu permukaan laut dari OISST, data klorofil-a dari

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48

Garczyński, Błażej. "A Short Research in Danish Cardinal and Ordinal Numerals on Indo-European Background." Folia Scandinavica Posnaniensia 16, no. 1 (2014): 17–40. http://dx.doi.org/10.1515/fsp-2015-0002.

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Abstract The article focuses on the Danish numerals 1-1000. It presents their Proto-Indo-European, Proto-Germanic, Old Danish and present forms whilst providing additional information on their development and corresponding numerals in other European languages. It focuses primarily on the vigesimal counting system, whose traces can be found in Danish, and which is the source of some unique forms unseen in other languages. Therefore, special attention is paid to the numerals of the series 50-90. Though these appear to be unique and exotic, the article shows that they are not to be perceived as a

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49

Vallino, Linda D., Ronald Zuker, and Joseph A. Napoli. "A Study of Speech, Language, Hearing, and Dentition in Children with Cleft Lip Only." Cleft Palate-Craniofacial Journal 45, no. 5 (2008): 485–94. http://dx.doi.org/10.1597/06-207.1.

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Objective: To examine the prevalence of speech, language, hearing, and dental problems in children with an initial diagnosis of isolated cleft lip only (CL), for which evidence-based practice can be developed. Design: Retrospective chart review of 95 patients with cleft lip (age range, 2.8 to 3.7 years; mean, 3.1 years). Results: Speech and language impairment was documented in 13% and 18% of the patients, respectively. Thirty-three percent of the children presented with middle ear effusion. Thirteen percent had abnormal hearing. With one exception, the type and degree of hearing loss was a mi

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Wang, Zichong, Weiyuan Cui, Chenjia Huang, et al. "Framework for Apple Phenotype Feature Extraction Using Instance Segmentation and Edge Attention Mechanism." Agriculture 15, no. 3 (2025): 305. https://doi.org/10.3390/agriculture15030305.

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A method for apple phenotypic feature extraction and growth anomaly identification based on deep learning and natural language processing technologies is proposed in this paper, aiming to enhance the accuracy of apple quality detection and anomaly prediction in agricultural production. This method integrates instance segmentation, edge perception mechanisms, attention mechanisms, and multimodal data fusion to accurately extract an apple’s phenotypic features, such as its shape, color, and surface condition, while identifying potential anomalies which may arise during the growth process. Specif

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