Academic literature on the topic 'Linguistic model'
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Journal articles on the topic "Linguistic model"
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.
Full textvan 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.
Full textMATSUMURA, 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.
Full textPolyakov, 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.
Full textPolyakov, 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.
Full textHwang, 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.
Full textAl-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.
Full textNiyozova, 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.
Full textTeich, 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.
Full textVarfolomeeva, 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.
Full textDissertations / Theses on the topic "Linguistic model"
Edzard, Lutz Eberhard. "Polygenesis, convergence, and entropy : an alternative model of linguistic evolution applied to Semitic linguistics /." Wiesbaden : Harrassowitz, 1998. http://catalogue.bnf.fr/ark:/12148/cb38925496m.
Full textPang, Lee Yick. "A quantitative approach to linguistic model validation." Thesis, University College London (University of London), 1990. http://discovery.ucl.ac.uk/10018475/.
Full textHall, Jared Coleman. "A Linguistic Model for Improving Sentiment Analysis Systems." Thesis, North Dakota State University, 2014. https://hdl.handle.net/10365/27534.
Full textPorro, Martorell Olga. "A hesitant fuzzy perceptual-based approach to model linguistic assessments." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/672127.
Full textEl multiple-criteria o bé multi-attributte group decision-making (MCGDM / MAGDM) és una branca del camp de OR (operations research) l'objectiu del qual és buscar solucions comunes i representatives donades unes preferències d'un grup d'experts definit, sobre un conjunt d'alternatives i en relació a un conjunt coherent de criteris o atributs. L'objectiu d'aquesta tesis és contribuir específicament en l'àrea lingüística de MCGDM / MAGDM millorant les metodologies i marcs matemàtics existents amb l'objectiu de poder modelar qualsevol tipus de situació de presa de decisions en grup que impliqui multi-granularitat i raonament qualitatiu molt heterogeni entre el grup (ús d'etiquetes lingüístiques no balancejades). En concret, la tesis es basa en l'ús de l'eina dels hesitant fuzzy lingüístic term sets (HFLTSs) que fou introduïda per Rodriguez et al (2012) amb l'objectiu de permetre als experts poder donar opinions i preferències lingüístiques usant el seu llenguatge habitual (i no, números) capturant també la incertesa, ambigüitat i manca d'informació característica en aquest tipus de decisions. La majoria d'estructures matemàtiques existents basades en l'ús de HFLTSs en problemes de MCGDM/MAGDM fan la hipòtesis que tots els experts han d'expressar-se usant el mateix set d'etiquetes lingüístiques i/o bé el pes que cada expert dona a cadascuna de les etiquetes ha de ser el mateix. Aquests estructures no són suficientment flexibles per modelar situacions de GDM de multi-granularitat que també incloguin diversitat de raonament qualitatiu amb etiquetes lingüístiques no balancejades de forma simultània. En primer lloc, la present tesis desenvolupa un nou concepte, el perceptual-map, definit sobre l'estructura algebraica de HFLTSs no balancejats i introdueix una nova distància basada en aquesta mètrica. Aquesta distància és utilitzada per definir un centroide (opinió central) i una mesura de consens per a qualsevol situació de MAGDM que necessiti de l'ús d'un set d'etiquetes lingüístiques no balancejat. En segon lloc, una funció de transformació basada en el perceptual-map es defineix per tal de poder modelar simultàniament situacions lingüístiques amb multi-granularitat i poder així, realitzar operacions en un espai projectat. A nivell pràctic, la tesis presenta dos aplicacions reals per demostrar la utilitat i rellevància de les eines matemàtiques desenvolupades. D'una banda, la tesis introdueix un nou mètode de classificació i rànquing, que és aplicat en l'àmbit de l'educació. El nou mètode és utilitzat per classificar i ranquejar els alumnes de secundària de l'escola Andorrana d'acord amb el seu grau de desenvolupament de la competència emprenedora. D'altra banda, s'ha desenvolupat un nou model de TOPSIS anomenat fuzzy multi-perceptual lingüístic TOPSIS, que s'ha aplicat en el context d'avaluació de smart cities. La nova versió de TOPSIS s'ha aplicat amb èxit per avaluar els criteris que governen la decisió estratègica de localització, en el context de ciutats europees, de les multinacionals del sector energètic.
Boussofara-Omar, Naima. "Arabic diglossic switching in Tunisia : an application of Myers-Scotton's MLF model /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.
Full textPrevett, Elizabeth. "In defense of a linguistic model for reflective equilibrium in ethics." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/14138.
Full textLai, Catherine. "A formal framework for linguistic tree query /." Connect to thesis, 2005. http://eprints.unimelb.edu.au/archive/00001594.
Full textKim, Yongtaek 1968. "Event construal and its linguistic encoding: Towards an Extended Semantic Map model." Thesis, University of Oregon, 2009. http://hdl.handle.net/1794/10329.
Full textThis dissertation investigates constructional alternation among the English verb- at , verb- away-at , and verb- away constructions. The primary purpose is to lay a fundamental conceptual framework on the interrelation between how we perceive a situation in an external world and how we construe it as an event structure in a conceptualized world to encode it linguistically. This study suggests an Extended Semantic Map (hereafter ESM) model. It presents an in-depth analysis of the three constructions, derived from the BNC (British National Corpus), and resultative constructions in Korean and Japanese. I argue that language has conceptual bases rooted in perception and cognitive construal. Construal allows one to view the same situation in a number of alternative ways. Construal is closely related to distribution of attention, which has two main patterns: focus of attention and windowing of attention. Focus of attention is mainly based on perceptual prominence. It is placed on participants and is typically encoded in the selection and arrangement of nominals. Windowing of attention operates on cognitive prominence. It is a cognitive process to segment some relation(s) out of an event structure. It is typically encoded in predicate or adverbial expressions. I further argue that any mismatch between perceptual and cognitive prominence requires overt marking. For example, the English passive construction requires the overt marking of ' be/get + past participle,' which directs an addressee's primary focus of attention to a perceptually secondary but cognitively primary patient. It also places windowing of attention on the perceptually secondary but cognitively primary Change. Windowing and focus of attention will be used to define the X- and Y-axes of the ESM. The X-axis consists of five causal relations -- Volition, Activity, Force Transfer, Change, and State, on which attention is windowed. The Y-axis is composed of four types of configuration for the semantic roles of the participants -- Agent, Agent-Location, Agent-Theme, and Theme. The ESM visually maps relations among constructions within and across languages. It illustrates how event structures can be categorized typically as either [Activity]-windowing or [Change]-windowing. Finally, it also allows us to represent cross-linguistic differences in the available constructions for construing event structures.
Committee in charge: Eric Pederson, Chairperson, Linguistics; Scott DeLancey, Member, Linguistics; Doris Payne, Member, Linguistics; Kaori Idemaru, Outside Member, East Asian Languages & Literatures
Barber, Jessica. "Swaying the masses: The effect of argument strength and linguistic abstractness on attitudes." VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/1828.
Full textPang, Kam-yiu S., and n/a. "A partitioned narrative model of the self : its linguistic manifestations, entailments, and ramifications." University of Otago. Department of English, 2006. http://adt.otago.ac.nz./public/adt-NZDU20070213.103815.
Full textBooks on the topic "Linguistic model"
Martínez, Luis, Rosa M. Rodriguez, and Francisco Herrera. The 2-tuple Linguistic Model. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24714-4.
Full textPolygenesis, convergence, and entropy: An alternative model of linguistic evolution applied to Semitic linguistics. Wiesbaden: Harrassowitz, 1998.
Find full textNovák, Vilém. The alternative mathematical model of linguistic semantics and pragmatics. New York: Plenum, 1992.
Find full textNovák, Vilém. The Alternative Mathematical Model of Linguistic Semantics and Pragmatics. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-2317-2.
Full textNovák, Vilém. The alternative mathematical model of linguistic semantics and pragmatics. New York: Plenum Press, 1992.
Find full textCsilla, Rákosi, ed. Data and evidence in linguistics: A plausible argumentation model. Cambridge: Cambridge University Press, 2012.
Find full textBrunson, Barbara A. A processing model for Warlpiri syntax and implications for linguistic theory. Toronto: Computer System Research Institute, Universty of Toronto, 1988.
Find full textTaylor, Paul Alexander. A phonetic model of intonation in English. Bloomington, Ind: Indiana University Linguistics Club Publications, 1994.
Find full textSchulster, M. A grounded theory model of the outcomes of training in neuro-linguistic programming. Manchester: UMIST, 1993.
Find full textSoft systems methodology: Conceptual model building and its contribution. Chichester: Wiley, 2001.
Find full textBook chapters on the topic "Linguistic model"
Martínez, Luis, Rosa M. Rodriguez, and Francisco Herrera. "2-Tuple Linguistic Model." In The 2-tuple Linguistic Model, 23–42. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24714-4_2.
Full textDong, Yucheng, and Jiuping Xu. "Numerical Scale Model." In Linguistic Decision Making, 17–37. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2916-6_2.
Full textFeatherston, Sam. "The Decathlon Model of Empirical Syntax." In Linguistic Evidence, 187–208. Berlin, New York: Mouton de Gruyter, 2005. http://dx.doi.org/10.1515/9783110197549.187.
Full textArchibald, John. "A lexical model of color space." In Linguistic Categorization, 31. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/cilt.61.04arc.
Full textTaraban, R., J. McDonald, and Brian MacWhinney. "Category learning in a connectionist model." In Linguistic Categorization, 163. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/cilt.61.13tar.
Full textMartínez, Luis, Rosa M. Rodriguez, and Francisco Herrera. "Linguistic Approaches Based on the 2-Tuple Fuzzy Linguistic Representation Model." In The 2-tuple Linguistic Model, 43–50. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24714-4_3.
Full textBellert, Irena. "Interpretative Model for Linguistic Quantifiers." In Foundations of Logic and Linguistics, 503–41. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4899-0548-2_22.
Full textNakoula, Y., S. Galichet, and L. Foulloy. "Identification of Linguistic Fuzzy Models Based on Learning." In Fuzzy Model Identification, 281–319. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60767-7_9.
Full textMartínez, Luis, Rosa M. Rodriguez, and Francisco Herrera. "Decision Making with Unbalanced Linguistic Information." In The 2-tuple Linguistic Model, 83–112. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24714-4_5.
Full textMartínez, Luis, Rosa M. Rodriguez, and Francisco Herrera. "2-Tuple Linguistic Decision Based Applications." In The 2-tuple Linguistic Model, 131–43. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24714-4_7.
Full textConference papers on the topic "Linguistic model"
Heinz, Marcel, Ralf Lämmel, and Andrei Varanovich. "Axioms of Linguistic Architecture." In 5th International Conference on Model-Driven Engineering and Software Development. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006210204780486.
Full textGrantner, Janos, Bradley Bazuin, Liang Dong, Jumana Al-shawawreh, Matthew P. Castanier, and Shabbir Hussain. "Linguistic model for axle fatigue." In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6251197.
Full textNg, R., S. Yan, X. Zeng, A. Chaboud, and P. Bruniaux. "Linguistic Model of Fashion Statements." In Multiconference on "Computational Engineering in Systems Applications. IEEE, 2006. http://dx.doi.org/10.1109/cesa.2006.4281642.
Full textRamakrishnan, Sivakumar, and Vasuky Mohanan. "Linguistic Competency Model for Intentional Agent." In 2011 International Conference on Asian Language Processing (IALP). IEEE, 2011. http://dx.doi.org/10.1109/ialp.2011.71.
Full textGrantner, Janos, Bradley Bazuin, Claudia Fajardo, Richard Hathaway, Jumana Al-shawawreh, Liang Dong, Matthew P. Castanier, and Shabbir Hussain. "Linguistic model for engine power loss." In 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS). IEEE, 2013. http://dx.doi.org/10.1109/civts.2013.6612293.
Full textTRUCK, ISIS, NESRIN HALOUANI, and SOUHAIL JEBALI. "LINGUISTIC NEGATION AND 2-TUPLE FUZZY LINGUISTIC REPRESENTATION MODEL: A NEW PROPOSAL." In Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813146976_0016.
Full textRodriguez, Rosa M., Luis Martinez, and Francisco Herrera. "A linguistic 2-tuple multicriteria decision making model dealing with hesitant linguistic information." In 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2015. http://dx.doi.org/10.1109/fuzz-ieee.2015.7338016.
Full textTomkins, Sabina, Lise Getoor, Yunfei Chen, and Yi Zhang. "A Socio-linguistic Model for Cyberbullying Detection." In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2018. http://dx.doi.org/10.1109/asonam.2018.8508294.
Full textLi, Jie, Yanhua Yu, and Yunjie Ji. "Linguistic attention-based model for aspect extraction." In 2018 International Conference on Image, Video Processing and Artificial Intelligence, edited by Ruidan Su. SPIE, 2018. http://dx.doi.org/10.1117/12.2513845.
Full textBjerva, Johannes, Yova Kementchedjhieva, Ryan Cotterell, and Isabelle Augenstein. "A Probabilistic Generative Model of Linguistic Typology." In Proceedings of the 2019 Conference of the North. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/n19-1156.
Full textReports on the topic "Linguistic model"
Jurafsky, Daniel. An On-Line Computational Model of Human Sentence Interpretation: A Theory of the Representation and Use of Linguistic Knowledge. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada604298.
Full textHoinkes, Ulrich. Indexicality and Enregisterment as Theoretical Approaches to the Sociolinguistic Analysis of Romance Languages. Universitatsbibliothek Kiel, November 2019. http://dx.doi.org/10.21941/hoinkesindexenregromlang.
Full textMan, Hong, and Yu-dong Yao. MSEE: Stochastic Cognitive Linguistic Behavior Models for Semantic Sensing. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada589989.
Full textChornodon, Myroslava. FEAUTURES OF GENDER IN MODERN MASS MEDIA. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11064.
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