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1

Mahbuba, Mamajanova. "Model concept modelling in linguistics types of linguistic models." ACADEMICIA: An International Multidisciplinary Research Journal 10, no. 12 (2020): 286–89. http://dx.doi.org/10.5958/2249-7137.2020.01772.3.

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2

van Driem, George. "Linguistic history and historical linguistics." Linguistics of the Tibeto-Burman Area 41, no. 1 (July 20, 2018): 106–27. http://dx.doi.org/10.1075/ltba.18005.dri.

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Abstract This invited response to a piece by LaPolla, published in issue 39/2 of LTBA, addresses both LaPolla’s misrepresentations of the history of linguistics and his flawed understanding of historical linguistics. The history of linguistic thought with regard to the Tibeto-Burman or Trans-Himalayan language family vs. the Indo-Chinese or “Sino-Tibetan” family tree model is elucidated and juxtaposed against the remarkable robustness of certain ahistorical myths and the persistence of unscientific argumentation by vocal proponents of the Sino-Tibetanist paradigm, such as LaPolla.
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3

MATSUMURA, Hisashi, Masaaki INAISHI, Shushin SATOH, and Akio M. SUGISAKI. "COLREG Linguistic Model." Journal of Japan Institute of Navigation 90 (1994): 351–57. http://dx.doi.org/10.9749/jin.90.351.

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4

Polyakov, O. M. "Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 2. Identification." Discourse 5, no. 5 (December 18, 2019): 99–113. http://dx.doi.org/10.32603/2412-8562-2019-5-5-99-113.

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Introduction. The article continues a series of publications on the linguistics of relations (hereinafter R-linguistics) and is devoted to the origin of signs, their independence and determination of the dimension of linguistic spaces.Methodology and sources. The article is devoted to the continuation of the axiomatic approach, but for the identification process. Research methods are to develop the necessary mathematical concepts for linguistics in the field of identification. Results and discussion. The concept of a sign is defined and its interrelation with decomposition of linguistic spaces is established. This radically changes the attitude to signs in linguistics, where the “external” origin of signs is assumed. It is shown that the decomposition of linguistic spaces into signs spaces entails the independence of signs and the possibility of decomposition of objects of identification. It is fundamentally distinguished by the signs on the parameters. On the basis of the independence of signs it is possible to formulate the notion of dimension of linguistic spaces, which is defined as the smallest number of signs describing the linguistic space. In the lattice of linguistic spaces there is a division operation, which allows to simplify the selection of signs.Conclusion. The main conclusions are as follows. Signs, on the basis of which the identification of objects in the category, are abstract mathematical objects associated with the decomposition of linguistic spaces. Signs are independent from each other and allow not only to make decomposition of spaces, but also to decompose on parts objects of identification. Their origin is not related to their presence in the “outside world”, so it, as will be shown later, creates the basis for the emergence of language.
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5

Polyakov, O. M. "Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 2. Identification." Discourse 5, no. 5 (December 18, 2019): 99–113. http://dx.doi.org/10.32603/2412-8562-2019-55-99-113.

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Introduction. The article continues a series of publications on the linguistics of relations (hereinafter R-linguistics) and is devoted to the origin of signs, their independence and determination of the dimension of linguistic spaces.Methodology and sources. The article is devoted to the continuation of the axiomatic approach, but for the identification process. Research methods are to develop the necessary mathematical concepts for linguistics in the field of identification. Results and discussion. The concept of a sign is defined and its interrelation with decomposition of linguistic spaces is established. This radically changes the attitude to signs in linguistics, where the “external” origin of signs is assumed. It is shown that the decomposition of linguistic spaces into signs spaces entails the independence of signs and the possibility of decomposition of objects of identification. It is fundamentally distinguished by the signs on the parameters. On the basis of the independence of signs it is possible to formulate the notion of dimension of linguistic spaces, which is defined as the smallest number of signs describing the linguistic space. In the lattice of linguistic spaces there is a division operation, which allows to simplify the selection of signs.Conclusion. The main conclusions are as follows. Signs, on the basis of which the identification of objects in the category, are abstract mathematical objects associated with the decomposition of linguistic spaces. Signs are independent from each other and allow not only to make decomposition of spaces, but also to decompose on parts objects of identification. Their origin is not related to their presence in the “outside world”, so it, as will be shown later, creates the basis for the emergence of language.
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6

Hwang, H. S., and K. B. Woo. "Linguistic fuzzy model identification." IEE Proceedings - Control Theory and Applications 142, no. 6 (November 1, 1995): 537–44. http://dx.doi.org/10.1049/ip-cta:19952254.

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7

Al-Arab, Zeinab E., Ahmed M. Gadallah, and Hesham M. Hefny. "An Enhanced Fuzzy Information Retrieval Model Based on Linguistics." Applied Mechanics and Materials 519-520 (February 2014): 853–56. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.853.

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The paper proposes a linguistic based fuzzy ontology information retrieval model. The model deals with linguistic based queries in multi domains. Such linguistics are user defined, reflecting his subjective view. The model also proposes a ranking algorithm that ranks the set of relevant documents according to some criteria such as their relevance degree, confidence degree, and updating degree.
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8

Niyozova, Olmoskhon Erkaboevna. "Phraseologys Formed On The Basis Of A Comparative Model (On The Example Of Uzbek-Korean Phraseologism)." American Journal of Social Science and Education Innovations 03, no. 04 (April 30, 2021): 444–48. http://dx.doi.org/10.37547/tajssei/volume03issue04-70.

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A large-scale study of linguistic problems from the point of view of comparative linguistics and linguistic translation poses new common challenges for the science of the 21st century. One such problem is the study of translated texts from an anthropocentric position. Anthropocentric study of translated texts means showing the uniqueness of a particular people. In this article, research work on phraseology, formed on the basis of a comparative model, and, therefore, "similarities" in a particular language and culture, reflect the way of thinking and imagination of this people in the texts of the Uzbek-Korean and Korean-Uzbek translation. Linguistic and cultural comparative study of "phraseology" - one of the most important aspects of the topic.
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9

Teich, Elke. "System-oriented and text-oriented comparative linguistic research." Languages in Contrast 2, no. 2 (December 31, 1999): 187–210. http://dx.doi.org/10.1075/lic.2.2.04tei.

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The main concern of this paper is to develop a model of cross-linguistic variation that is applicable to various kinds of comparative linguistic research. The motivation for this lies in the observation that there is little interaction among the major areas of comparative linguistic investigation — language typology, contrastive linguistics, translation studies, and the computational modeling of multilingual processes as implemented in machine translation or multilingual text generation. The divide between them can be characterized by a general orientation towards describing the relation between language systems (as in language typology) vs. describing the relation between texts (as in translation studies). It will be suggested that with a model of cross-linguistic comparison that accommodates both the system view and the text view on cross-linguistic variation, language typology, contrastive linguistics, translation studies and multilingual computational linguistics can be shown to have mutually compatible concerns rather than being entirely disjunct endeavors. The model proposed is based on Systemic Functional Linguistics (SFL), using the representational categories SFL sets up as parameters along which cross-linguistic variation can be described. The fundamental assumption brought forward by SFL that acts as a unifier of concerns is that texts are ultimately instantiations of the language system under certain specifiable contexts of use. A model of cross-linguistic variation based on SFL thus bears the promise of opening up the text view for the system-oriented branch of cross-linguistic study, and the system view for the text-oriented branch. I illustrate the model with data from several European languages, concentrating on the register of instructional text.
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10

Varfolomeeva, Yu N. "Linguistic-Cognitive Text Model “Description”." Nauchnyy dialog, no. 11 (2019): 34–45. http://dx.doi.org/10.24224/2227-1295-2019-11-34-45.

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11

Kaczmarek, B. L. J. "Neurocyberaetic model of linguistic communication." Journal of Neurolinguistics 3, no. 1 (January 1988): 39–48. http://dx.doi.org/10.1016/0911-6044(88)90004-8.

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12

Abbasbandy, S., and M. Adabitabar Firozja. "Fuzzy linguistic model for interpolation." Chaos, Solitons & Fractals 34, no. 2 (October 2007): 551–56. http://dx.doi.org/10.1016/j.chaos.2006.03.102.

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13

HSIEH, CHIH HSUN. "LINGUISTIC INVENTORY PROBLEMS." New Mathematics and Natural Computation 07, no. 01 (March 2011): 1–49. http://dx.doi.org/10.1142/s179300571100186x.

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The work presented in this paper has been motivated primarily by Zadeh's idea of linguistic variables intended to provide rigorous mathematical modeling of natural language and CWW, Computing With Words. This paper reports some modeling of the linguistic inventory problems where CWW have been implemented: linguistic production inventory, linguistic inventory models under linguistic demand and linguistic lead time, linguistic production inventory models based on the preference of a decision maker, and linguistic inventory model for fuzzy reorder point and fuzzy safety stock. Only studies that focus on CWW, two linguistic inventory models and two linguistic backorder inventory models, which each model is combined by the heuristic fuzzy total inventory cost based on the preference of a decision maker, are proposed in this paper. The heuristic fuzzy total inventory cost of each model is modeled by linguistic values in natural language, fuzzy numbers, and crisp real numbers. It is also computed and defuzzified by using some fuzzy arithmetical operations by Function Principle and Graded k-preference integration representation method, respectively. In addition, Extension of the LaGrangean method is used for solving inequality constrain problem in the proposed linguistic inventory environments. Furthermore, we find that our heuristic optimal solutions of the new introduced modeling the linguistic inventory problems can also be specified to meet the classical inventory models, when all linguistic variables are crisp real numbers, such as the previous proposed linguistic inventory models.
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14

Chandra, Yanto. "Toward a Meta-Linguistic Model of Social Entrepreneurship: Insights from Computational Linguistics." Academy of Management Proceedings 2014, no. 1 (January 2014): 13356. http://dx.doi.org/10.5465/ambpp.2014.13356abstract.

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15

WANG, XIAOLONG, DANIEL S. YEUNG, JAMES N. K. LIU, ROBERT LUK, and XUAN WANG. "A HYBRID LANGUAGE MODEL BASED ON STATISTICS AND LINGUISTIC RULES." International Journal of Pattern Recognition and Artificial Intelligence 19, no. 01 (February 2005): 109–28. http://dx.doi.org/10.1142/s0218001405003934.

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Language modeling is a current research topic in many domains including speech recognition, optical character recognition, handwriting recognition, machine translation and spelling correction. There are two main types of language models, the mathematical and the linguistic. The most widely used mathematical language model is the n-gram model inferred from statistics. This model has three problems: long distance restriction, recursive nature and partial language understanding. Language models based on linguistics present many difficulties when applied to large scale real texts. We present here a new hybrid language model that combines the advantages of the n-gram statistical language model with those of a linguistic language model which makes use of grammatical or semantic rules. Using suitable rules, this hybrid model can solve problems such as long distance restriction, recursive nature and partial language understanding. The new language model has been effective in experiments and has been incorporated in Chinese sentence input products for Windows and Macintosh OS.
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16

Leonard, Stephen Pax. "A semiotic approach to language ideologies: Modelling the changing Icelandic languagescape." Sign Systems Studies 48, no. 2-4 (December 31, 2020): 271–96. http://dx.doi.org/10.12697/sss.2020.48.2-4.05.

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Attempts have been made to examine how speakers frame linguistic varieties by employing social semiotic models. Using ethnographic data collected over many years, this article applies such a model to Iceland, once described as the ‘e-coli of linguistics’ – its size, historical isolation and relative linguistic homogeneity create conditions akin to a sociolinguistic laboratory. This semiotic model of language ideologies problematizes the prevailing discourse of linguistic purism at a time of sociolinguistic upheaval. The analysis shows how an essentializing scheme at the heart of Icelandic language policy ensured that linguistic “anomalies” such as “dative disease” and “genitive phobia” indexed essential differences. “Impure” language was indicative of un-Icelandicness. Once monolingual (indeed monodialectal), the Icelandic speech community is increasingly characterized by innovative linguistic transgressions which thus far have not been instrumentalized by language policy makers. It is shown how a semiotic model can help us analyse the function of language ideologies more generally.
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17

Polyakov, O. M. "Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 1. Categorization." Discourse 5, no. 4 (October 29, 2019): 102–14. http://dx.doi.org/10.32603/2412-8562-2019-5-4-102-114.

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Introduction. The article opens a series of publications on the linguistics of relations (hereinafter R–linguistics), the purpose of which is to formalize the processes studied by linguistics, to expand the possibilities of their use in artificial intelligence systems. At the heart of R-linguistics is the hypothesis that mental and linguistic activity is based on the use of consciousness model of the world, which is a system of specially processed relationships observed in the world or received by consciousness in the process of communication.Methodology and sources. This article is devoted to the axiomatization of the categorization process. The research methods consist of the development of necessary mathematical concepts for linguistics.Results and discussion. Axioms of categorization are defined and their equivalence with other systems of axioms is established. The concept of linguistic spaces, which consist of categories formed on the basis of axioms, is formulated. The properties of linguistic spaces are defined. In the paper are introduced the concepts of forming species which are important in decompositions of spaces, and in the transition to a parametric representation and language. Three variants of categorization are considered, the most important of which is verbal categorization. The evaluation of the results and their further development in different directions is carried out.Conclusion. At the end of the article some additional comments are made for further publications of the series.
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18

Knudsen, Carsten, and Lynne Cameron. "Simulated evolution in a linguistic model." Discrete Dynamics in Nature and Society 5, no. 3 (2000): 189–201. http://dx.doi.org/10.1155/s1026022600000522.

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In this paper we present a simple evolutionary model of childrens’ language development, whose central nonlinearity is represented by noninvertible discrete dynamical systems. The underlying assumption of the model is that children learn from other children through their interactions. The concrete learning mechanism used is based on imitation, where childrens’ languages evolve through attempting to imitate other childrens' utterances. The use of imitation in evolutionary models has been used, for instance, in evolution of bird song by Kaneko and Suzuki. The model to be presented here is similar to Kaneko and Suzuki’s model, the primary difference being the continuous nature of bird song, in contrast to the discrete nature of childrens’ utterances.
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19

Suprasongsin, Sirin, Van-Nam Huynh, and Pisal Yenradee. "A Three-Dimensional Fuzzy Linguistic Evaluation Model." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 5 (September 20, 2018): 767–76. http://dx.doi.org/10.20965/jaciii.2018.p0767.

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A probabilistic linguistic-based model is an effective tool to express preferences with different weights for different linguistic terms. This paper aims at introducing a new model for determining criteria weights in group decision-making problems, which is based on the concept of probabilistic linguistic terms. Different linguistic weights of respondents are also incorporated into the proposed model. Fuzzy numbers are used to quantify the linguistic terms. Using this model, first, a new concept called three-dimensional fuzzy linguistic representation is proposed to serve as an extension of the existing models. Then, a normalization process, an aggregation process, and a defuzzifying process for three-dimensional fuzzy linguistic representation are investigated. Next, a model for determining criteria weights is formulated. A case study of a beverage product in Thailand is provided to demonstrate the applicability of the proposed model. Finally, the results are compared with the existing models.
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Musthofa, Musthofa. "COMPUTATIONAL LINGUISTICS (Model Baru Kajian Linguistik dalam Perspektif Komputer)." Adabiyyāt: Jurnal Bahasa dan Sastra 9, no. 2 (December 31, 2010): 247. http://dx.doi.org/10.14421/ajbs.2010.09203.

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This paper describes a new discipline in applied linguistics studies, computational linguistics. It’s a new model of applied linguistics which is influenced by computer technology. Computational linguistics is a discipline straddling applied linguistics and computer science that is concerned with the computer processing of natural languages on all levels of linguistic description. Traditionally, computational linguistics was usually performed by computer scientists who had specialized in the application of computers to the processing of a natural language. Computational linguists often work as members of interdisciplinary teams, including linguists (specifically trained in linguistics), language experts (persons with some level of ability in the languages relevant to a given project), and computer scientists. The several areas of computational linguistics study encompasses such practical applications as speech recognition systems, speech synthesis, automated voice response systems, web search engines, text editors, grammar checking, text to speech, corpus linguistics, machine translation, text data mining, and others. This paper presents the definition of computational linguistics, relation between language and computer, and area of computational linguistics studies.
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Buccellati, Giorgio. "Towards a linguistic model for archaeology." Revue d'assyriologie et d'archéologie orientale 106, no. 1 (2012): 37. http://dx.doi.org/10.3917/assy.106.0037.

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RAVID, DORIT, and LILIANA TOLCHINSKY. "Developing linguistic literacy: a comprehensive model." Journal of Child Language 29, no. 2 (May 2002): 417–47. http://dx.doi.org/10.1017/s0305000902005111.

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This is a position paper modelling the domain of linguistic literacy and its development through the life span. It aims to provide a framework for the analysis of language development in the school years, integrating sociolinguistic and psycholinguistic notions of variation, language awareness, and literacy in a comprehensive model. The paper focuses on those aspects of literacy competence that are expressed in language as well as aspects of linguistic knowledge that are affected by literacy competence, tracing the route that children take in appropriating linguistic literacy as part of their cognitive abilities and examining the effect of literacy on language across development. Our view of linguistic literacy consists of one defining feature: control over linguistic variation from both a user-dependent (‘lectal’) and a context-dependent (modality, genre, and register) perspective; of one concomitant process: metalanguage and its role in language development; and of one condition: familiarity with writing and written language from two aspects: written language as discourse style – the recognition that the kind of language used for writing is essentially different from the one used for speech; and written language as a notational system – the perception and growing command of the representational system that is used in the written modality. Linguistic literacy is viewed as a constituent of language knowledge characterized by the availability of multiple linguistic resources and by the ability to consciously access one's own linguistic knowledge and to view language from various perspectives.
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Bergesen, Albert J. "A linguistic model of art history." Poetics 28, no. 1 (October 2000): 73–90. http://dx.doi.org/10.1016/s0304-422x(00)00012-7.

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24

Walley, Peter, and Gert de Cooman. "A behavioral model for linguistic uncertainty." Information Sciences 134, no. 1-4 (May 2001): 1–37. http://dx.doi.org/10.1016/s0020-0255(01)00090-1.

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Shihong, Yue, Li Ping, and Song Zhihuan. "Linguistic granular model: design and realization." Progress in Natural Science 15, no. 8 (August 1, 2005): 749–56. http://dx.doi.org/10.1080/10020070512331342860.

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26

Marta, J. "A Linguistic Model of Informed Consent." Journal of Medicine and Philosophy 21, no. 1 (February 1, 1996): 41–60. http://dx.doi.org/10.1093/jmp/21.1.41.

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27

Joo, Y. H., K. B. Kim, K. B. Woo, and H. S. Hwang. "Linguistic model identification for fuzzy system." Electronics Letters 31, no. 4 (February 16, 1995): 330–31. http://dx.doi.org/10.1049/el:19950163.

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28

Liceras, Juana M. "Linguistic theory and the Synthesis Model." Epistemological issue with keynote article “The development of bimodal bilingualism: Implications for linguistic theory” by Diane Lillo-Martin, Ronice Müller de Quadros and Deborah Chen Pichler 6, no. 6 (December 31, 2016): 776–81. http://dx.doi.org/10.1075/lab.6.6.06lic.

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Lascio, Luigi Di, Antonio Gisolfi, and Vincenzo Loia. "A new model for linguistic modifiers." International Journal of Approximate Reasoning 15, no. 1 (July 1996): 25–47. http://dx.doi.org/10.1016/0888-613x(95)00133-2.

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30

LaPointe, Leonard L. "Linguistic Competence in Aphasia." Perspectives on Augmentative and Alternative Communication 17, no. 3 (September 2008): 87–92. http://dx.doi.org/10.1044/aac17.3.87.

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Abstract Loss of implicit linguistic competence assumes a loss of linguistic rules, necessary linguistic computations, or representations. In aphasia, the inherent neurological damage is frequently assumed by some to be a loss of implicit linguistic competence that has damaged or wiped out neural centers or pathways that are necessary for maintenance of the language rules and representations needed to communicate. Not everyone agrees with this view of language use in aphasia. The measurement of implicit language competence, although apparently necessary and satisfying for theoretic linguistics, is complexly interwoven with performance factors. Transience, stimulability, and variability in aphasia language use provide evidence for an access deficit model that supports performance loss. Advances in understanding linguistic competence and performance may be informed by careful study of bilingual language acquisition and loss, the language of savants, the language of feral children, and advances in neuroimaging. Social models of aphasia treatment, coupled with an access deficit view of aphasia, can salve our restless minds and allow pursuit of maximum interactive communication goals even without a comfortable explanation of implicit linguistic competence in aphasia.
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Herrera-Viedma, E., O. Cordón, M. Luque, A. G. Lopez, and A. M. Muñoz. "A model of fuzzy linguistic IRS based on multi-granular linguistic information." International Journal of Approximate Reasoning 34, no. 2-3 (November 2003): 221–39. http://dx.doi.org/10.1016/j.ijar.2003.07.009.

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32

KWAK, K. C., and D. H. KIM. "TSK-Based Linguistic Fuzzy Model with Uncertain Model Output." IEICE Transactions on Information and Systems E89-D, no. 12 (December 1, 2006): 2919–23. http://dx.doi.org/10.1093/ietisy/e89-d.12.2919.

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CHANDLER, STEVE. "The analogical modeling of linguistic categories." Language and Cognition 9, no. 1 (October 27, 2015): 52–87. http://dx.doi.org/10.1017/langcog.2015.24.

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abstractIn recent years proponents of usage-based linguistics have singled out ‘categorization’ as possibly the fundamental cognitive operation underlying the acquisition and use of language. Despite this increasing appeal to the importance of categorization, few researchers have yet offered explicit interpretations of how linguistic categories might be represented in the brain other than vague allusions to prototype theory, especially as implemented in connectionist-like frameworks. In this paper, I discuss in some detail the implications of superimposing the theoretical representations of linguistic structures onto domain-general models of categorization. I first review the evidence that instance-based, or exemplar-based, models of categorization provide empirically and theoretically better models of both domain-general categorization and of linguistic categorization than do the most commonly cited alternative models. I then argue that of the three exemplar-based models currently being applied to linguistic data, Skousen’s Analogical Model (AM) appears to provide the simplest, most straightforward account of the data and that it appears to be fully compatible with our current understanding of the psychological capabilities and operations that underlie categorization behavior.
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Phong, Pham Đinh. "A TIME SERIES FORECASTING MODEL BASED ON LINGUISTIC FORECASTING RULES." Journal of Computer Science and Cybernetics 37, no. 1 (March 29, 2021): 23–42. http://dx.doi.org/10.15625/1813-9663/37/1/15852.

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The fuzzy time series (FTS) forecasting models have been being studied intensively over the past few years. Most of the researches focus on improving the effectiveness of the FTS forecasting models using time-invariant fuzzy logical relationship groups proposed by Chen et al. In contrast to Chen’s model, a fuzzy set can be repeated in the right-hand side of the fuzzy logical relationship groups of Yu’s model. N. C. Dieu enhanced Yu’s forecasting model by using the time-variant fuzzy logical relationship groups instead of the time-invariant ones. The forecasting models mentioned above partition the historical data into subintervals and assign the fuzzy sets to them by the human expert’s experience. N. D. Hieu et al. proposed a linguistic time series by utilizing the hedge algebras quantification to converse the numerical time series data to the linguistic time series. Similar to the FTS forecasting model, the obtained linguistic time series can define the linguistic, logical relationships which are used to establish the linguistic, logical relationship groups and form a linguistic forecasting model. In this paper, we propose a linguistic time series forecasting model based on the linguistic forecasting rules induced from the linguistic, logical relationships instead of the linguistic, logical relationship groups proposed by N. D. Hieu. The experimental studies using the historical data of the enrollments of University of Alabama observed from 1971 to 1992 and the daily average temperature data observed from June 1996 to September 1996 in Taipei show the outperformance of the proposed forecasting models over the counterpart ones.
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Pogorelov, Vadim, and Marouf Assayra. "Organizational and economic efficiency of the polyhierarchic model of construction." E3S Web of Conferences 91 (2019): 08015. http://dx.doi.org/10.1051/e3sconf/20199108015.

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This study has been done over the years in the field of growing the effectiveness of management in construction companies from the point of view of applied linguistics. The purpose of this work is to share with the scientific community some practical results of the application technology of company process management, in particular linguistic methods of the effectiveness subject to control in natural language. The study deals with the description of the linguistic and management models, views, practical results of their application in the application area to assess the sustainability of production and minimize losses. The authors used the developed technology for practical use, and the article presents the results of this application.
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Huayong, Lin, Wu Xueyu, and Liu Zhiling. "A Study on a Group of Grammatical Features across Western Yue Dialects: Perspectives from Contact-induced Grammaticalization and Semantic Map Model." Bulletin of Chinese Linguistics 10, no. 2 (March 9, 2019): 197–213. http://dx.doi.org/10.1163/2405478x-01002004.

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The theory of contact-induced grammaticalization has been proposed to examine language contact and grammatical change, and was introduced into Chinese linguistic circles over 10 years ago. It contributes to a series of developments and breakthroughs in the domain of contact between Chinese and other languages as well as contact among Chinese dialects. Recent approaches to Chinese linguistics combine the theory with Semantic Map Model. In this paper, we focus on the Chinese linguistic studies benefitting from the theory and discuss a group of regional grammatical features which have provided the linguistic basis for cultural regionalization in Guangdong Province.
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Li, Zhi-Min, and Yi-Ding Zhao. "Model for Software Patterns Selection with Fuzzy Linguistic Information." Journal of Computational and Theoretical Nanoscience 13, no. 10 (October 1, 2016): 7533–37. http://dx.doi.org/10.1166/jctn.2016.5749.

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With respect to multiple attribute group decision making problem with triangular fuzzy linguistic information, in which the attribute weights and expert weights take the form of real numbers, and the preference values take the form of triangular fuzzy linguistic variables, some operators for aggregating triangular fuzzy linguistic variables, such as the fuzzy linguistic harmonic mean (FLHM) operator, fuzzy linguistic weighted harmonic mean (FLWHM) operator, fuzzy linguistic ordered weighted harmonic mean (FLOWHM) operator, and fuzzy linguistic hybrid harmonic mean (FLHHM) operator are proposed. Based on the FLWHM and FLHHM operators, a practical method is developed for group decision making with triangular fuzzy linguistic variables. Finally, an illustrative example about software patters selection is given to verify the developed approach.
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38

Kovalevska, Anastasia. "Language Milton-model Analysis in Political Discourse." Fìlologìčnì traktati 12, no. 2 (2020): 29–36. http://dx.doi.org/10.21272/ftrk.2020.12(2)-4.

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The article is dedicated to the analysis of the verbal influence (also known as suggestion) realization phenomenon in political discourse, which is usually understood as a holistic combined image of the text (be it an advertisement slogan, a political program, a speech, or an interview) itself and the emotions of its recipient and addressee. and is aimed at a a political subject’s (politics, political force, power) influencing a political object (audience, electorate, voter). The political discourse is studied from the standpoint of Psychology, Communicative Linguistics, Sociolinguistics, Speech Acts Theory, Advertisement Theory, PR / GR, Political Linguistics and other related sciences, but it is the involvement of such new methods of studying the linguistic and extralinguistic implementation of suggestion in political discourse, influence being its basic function, that emphasizes the relevance of the work, aimed at studying the manifestations of suggestion in political discourses with the help of NLP’s Milton-model analysis. Contemporary political discourse as an array, which, given the specificity of its functioning in today's information society, is characterized by immanent suggestogenicity is the object of the research; while the essential linguistic features of political discourse as a tool for the realization of its programmed suggestibility are the subject. The factual data of the research is represented by recorded media speeches, political advertisement, political programs and press conference speeches of the politicians heading the governments of Ukraine, USA, France, Spain, Italy, Canada, Germany (about 200 items of each class). The author involves the meta- and Milton-model analysis of the text having been researched and developed in the NLP paradigm in order to isolate the actual linguistic influential patterns (markers of language metamodeling processes, simple, complex and indirect inductions). The linguistic algorithm of Milton-model analysis of political discourses having been researched and visually illustrated with relevant examples combines a complex scientific approach within such multisubstrate science as NLP, and thus it will allow not only to single out dominant strategies of constructing texts and mechanisms of these discourses, but also to highlight the ways to counteract their negative effect, as well as serve in the construction of appropriate planning decisions in the field of optimizing the effectiveness of political communication, emphasized the prospects of the research having been presented in the article, as well as its essential practical value.
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39

Denroche, Charles. "The Three Grammars and the sign." Review of Cognitive Linguistics 19, no. 1 (April 28, 2021): 206–31. http://dx.doi.org/10.1075/rcl.00081.den.

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Abstract This article presents an original three-component model of the linguistic sign. It shares with the established triadic models of Peirce (1955 [1897]) and Ogden and Richards (1923/1949) in identifying thought, word and thing as essential components; but differs in being linear, with thought and thing at opposite poles. It is argued that this arrangement reflects the way the components of the sign relate to reality and thereby serves well as an explanatory tool for linguistic research. The model is further modified at each of the ontological realms using concepts from cognitive linguistics, renamed cognition, language and reality. The new model is employed as a research tool in two case studies: one illustrates its use in making sense of the complex field of language grammar; the other does the same for figurative language – metaphor and metonymy. The article’s conclusions include that interrogating established cornerstones of linguistic theory in the light of new theory can lead to the development of improved research tools.
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Savchenko, Yevgenia. "FOCALIZATION AS LINGUISTIC PHENOMENON." Naukovy Visnyk of South Ukrainian National Pedagogical University named after K. D. Ushynsky: Linguistic Sciences 26, no. 27 (February 2019): 181–88. http://dx.doi.org/10.24195/2616-5317-2018-27-21.

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The article reveals the principal notions of focalization, its functions and features (emphasis and contrast) and their influence on transforming the model of the prosodic structure of the actual division of the utterance. Most frequently, focalization of a text fragment is prosodically expressed with a high register and extension of the tonal range, a raised loudness and a distinct pronunciation. It is established that one of the most well-known factors of the transformation of the prototype prosodic model is the listener’s focus on the most important aspects of the message, the conveyance of the semantic interaction of the message’s specific aspects. Focalization is interwoven with the both possible manifestations of this function: logical stress (in case of the opposition of words) or emphatic stress is implemented by its means. Regarding the changes in the tone direction, it should be noted that this tonal feature does not participate directly in forming an intonation model of the discourse’s focalized structures. It has been observed that there exists a certain modification of the tonal contour formed under the influence of the illocutionary and phase factors and certain types of the subjective-modal meanings. Key words: emphasis, opposition, focalization, actual division of the utterance, theme, rheme.
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41

HERRERA-VIEDMA, E., A. G. LÓPEZ-HERRERA, M. LUQUE, and C. PORCEL. "A FUZZY LINGUISTIC IRS MODEL BASED ON A 2-TUPLE FUZZY LINGUISTIC APPROACH." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no. 02 (April 2007): 225–50. http://dx.doi.org/10.1142/s0218488507004534.

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Information Retrieval Systems (IRSs) based on an ordinal fuzzy linguistic approach present some problems of loss of information and lack of precision when working with discrete linguistic expression domains or when applying approximation operations in the symbolic aggregation methods. In this paper, we present a new IRS model based on the 2-tuple fuzzy linguistic approach, which allows us to overcome the problems of ordinal fuzzy linguistic IRSs and improve their performance.
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42

Bidin, Mohd Syafiq, Abd Fatah Wahab, Mohammad Izat Emir Zulkifly, and Rozaimi Zakaria. "GENERALIZED FUZZY LINGUISTIC CUBIC B-SPLINE CURVE MODEL FOR UNCERTAINTY FUZZY LINGUISTIC DATA." Advances and Applications in Discrete Mathematics 25, no. 2 (November 20, 2020): 285–302. http://dx.doi.org/10.17654/dm025020285.

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43

Borden, Jonathan, and Xiaochen Angela Zhang. "Linguistic Crisis Prediction: An Integration of the Linguistic Category Model in Crisis Communication." Journal of Language and Social Psychology 38, no. 5-6 (August 16, 2019): 650–79. http://dx.doi.org/10.1177/0261927x19860870.

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Through two experiments, this study examines the relationship between linguistic choice and attribution perception in organizational crisis. Experiment 1 demonstrated that abstract (vs. concrete) language in crisis news elicited higher attribution and lower purchase intentions. Experiment two showed that preventable (vs. victim) crisis led to higher usage of abstract language in describing and commenting on the crisis. Also, abstract language use in describing and commenting on the crisis mediates crisis clusters’ effect on purchase intentions. Furthermore, attribution of crisis responsibility mediated crisis cluster and in-group/out-group’s effects on abstract language use in describing and commenting on the crisis. The findings empirically connect two attribution theory-rooted theories: linguistic category model and the situational crisis communication theory.
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Zaborski, Andrzej, and Lutz Edzard. "Polygenesis, Convergence and Entropy: An Alternative Model of Linguistic Evolution Applied to Semitic Linguistics." Journal of the American Oriental Society 121, no. 2 (April 2001): 305. http://dx.doi.org/10.2307/606588.

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45

Lukin, Annabelle. "Journalism, ideology and linguistics: The paradox of Chomsky’s linguistic legacy and his ‘propaganda model’." Journalism: Theory, Practice & Criticism 14, no. 1 (April 13, 2012): 96–110. http://dx.doi.org/10.1177/1464884912442333.

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46

Polyakov, O. M. "Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 4. Language." Discourse 6, no. 2 (May 19, 2020): 107–14. http://dx.doi.org/10.32603/2412-8562-2020-6-2-107-114.

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Introduction. The paper continues a series of publications on linguistics of relations (hereinafter R–linguistics) and is devoted to questions of the formation of a language from a linguistic model of the world. Moreover, the language is considered in its most general form, without taking into account the grammatical component. This allows you to focus on the general problems of language formation. Namely, this allows us to show why language adequately reflects the model of the world and what are the features of the transition from model to language. This new approach to language is relevant in connection with the formation of an understanding of the common core in all natural languages, as well as in connection with the needs for the formation of artificial intelligence subsystems of interaction with humans.Methodology and sources. Research methods consist in the formulation and proof of theorems about language spaces and their properties. The materials of the paper and the given proofs are based on the previously stated ideas about linguistic spaces and their decompositions into signs.Results and discussion. The paper shows how, in the most general form, the formation of language structures takes place. Namely, why does language adequately reflect the linguistic model, and what is the difference between linguistic and language spaces? The concepts of an open and closed form of the language are formulated, as well as the law of form. Examples of open and closed forms of the language are shown. It is shown that the formation of the language allows you to compensate for the lack of real signs in the surrounding world while maintaining the prognostic properties of the model.Conclusion. Any natural language is a reflection of the human world model. Moreover, all natural languages are similar in terms of the principles of forming the core of the language (language space). Language spaces standardize the models of the world by equalizing real and fictional signs of categories. In addition, the transition to language simplifies some of the problems of pattern recognition and opens the way to the logic of natural language.
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47

Mantelas, Lefteris, Poulicos Prastacos, Thomas Hatzichristos, and Kostis Koutsopoulos. "A Linguistic Approach to Model Urban Growth." International Journal of Agricultural and Environmental Information Systems 3, no. 2 (July 2012): 35–53. http://dx.doi.org/10.4018/jaeis.2012070103.

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This paper presents a linguistic approach for modeling urban growth. The authors developed a methodological framework which utilizes Fuzzy Set theory to capture and describe the effect of urban features on urban growth and applies Cellular Automata techniques to simulate urban growth. Although several approaches exist that combine Fuzzy Logic and Cellular Automata for urban growth modeling, the authors focused on the ability to use partial knowledge and combine theory-driven and data driven knowledge. To achieve this, a parallel connection between the input variables is introduced which further allows the model to disengage from severe data limitations. In this approach, a number of parallel fuzzy systems are used, each one of which focuses on different types of urban growth factors, different drivers or restrictions of development. The effects of all factors under consideration are merged into a single internal thematic layer that maps the suitability for urbanization for each area, providing thus an information flow familiar to the human conceptualization of the phenomenon. Following, cellular automata techniques are used to simulate urban growth. The proposed methodology is applied in the Mesogeia area in the Attica basin (Athens) for the period 1990-2004 and provides realistic estimations for urban growth.
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48

Poole, Brian. "Tiger Woods as a linguistic role model?" English Today 24, no. 1 (February 22, 2008): 59–61. http://dx.doi.org/10.1017/s0266078408000114.

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ABSTRACTInternational sports stars are often required to speak to the media after their performances. When Tiger Woods does so, it is noticeable that he makes use of the formulaic expression ‘I feel/felt like I’ as a means of introducing descriptions of, or generalizations about, his actions or motivations. Drawing on corpus data, this paper offers some observations about this expression in relation to its use by speakers (and to a lesser extent writers) of both American and British English, and also investigates the apparent disparity in frequency between instances of ‘she’ and ‘he’ when it is used.
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Rimma, Mardanshina, and Zhuravleva Evgenia. "Model of Complementary Linguistic Education for Economists." Procedia - Social and Behavioral Sciences 152 (October 2014): 1091–94. http://dx.doi.org/10.1016/j.sbspro.2014.09.280.

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50

Marta, Jan. "A linguistic model of psychosis?Lacan applied." American Journal of Psychoanalysis 50, no. 3 (September 1990): 243–52. http://dx.doi.org/10.1007/bf01252121.

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