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Lista de candidatos sometidos a examen:
1) modeling (*)
(*) Términos presentes en el nuestro glosario de lingüística

1) Candidate: modeling


Is in goldstandard

1
paper corpusSignosTxtLongLines329 - : Tanenhaus, M., Spyvey-Knowlton, M. & Hanna, J. (2000). Modeling thematic and discourse context effects on syntactic ambiguity resolution within a multiple constraints framework: Implications for the architecture of the language processing system . En M. Pickering, C. Clifton & M. Crocker (Eds.), Architecture and mechanism of the language processing system (pp. 90-118). Cambridge: Cambridge University Press. [ [67]Links ]

Evaluando al candidato modeling:



modeling
Lengua:
Frec: 39
Docs: 33
Nombre propio: 1 / 39 = 2%
Coocurrencias con glosario:
Puntaje: 0.158 = ( + (1+0) / (1+5.32192809488736)));
Rechazado: mal tf-df: 118;

Referencias bibliográficas encontradas sobre cada término

(Que existan referencias dedicadas a un término es también indicio de terminologicidad.)
modeling
: Adams, K. (2004). Modeling success: Enhancing international postgraduate research students’ self-efficacy for research seminar presentations. Higher Education Research & Development, 23, 115-130.
: Baayen, R. H., Davidson, D. J. & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59(4), 390-412.
: Baldi, P. , Frasconi, P. & Smyth, P. (2003). Modeling the Internet and the web. Chichester: John Wiley.
: Compton, D. L. (2003). Modeling the relationship between growth in rapid naming speed and growth in decoding skill in first-grade children. Journal of Educational Psychology, 95, 225-239.
: Davey, A. & Savla, J. (2010).Statistical power analysiswith missingdata: Astructural equation modeling approach. Nueva York: Routledge.
: Davey, B. (1983). Think aloud: Modeling the cognitive processes of reading comprehension. Journal of Reading, 27, 44-47.
: Denhiére, G., Lemaire, B., Bellissens, C. & Jhean-Larose, S. (2007). A semantic space modeling children's semantic memory. En T. Landauer, D. McNamara, S. Dennis & W. Kintsch (Eds.) The handbook of Latent Semantic Analysis (pp. 143-167). Mahwah, NJ: Erlbaum.
: Goutsos, D. (1997). Modeling Discourse Topic: Sequential Relations and Strategies in Expository Text. Advances in Discourse Processes. New Jersey: Ablex Publishing Corporation.
: Harrison, C. J. (2000). PureNet: A modeling program for neurocognitive linguistics. Doctoral thesis, Michigan: Bell & Howell Information and Learning.
: Hayes, J. (2012). Modeling and remodeling writing.Written communication,29(3), 369-388.
: Jackson, G., Mathews, E., Lin, D. & Graesser, A. (2003). Modeling student performance to enhance the pedagogy of AutoTutor. En P. Brusilovsky, A. Corbett & F. de Rosis (Eds.), Lecture Notes in Computer Science (pp. 368-372). New York: Springer.
: Langston, M. & Trabasso, T. (1999). Modeling causal integration and availability of information during comprehension of narrative texts. En H. van Oostendorp & S. Goldman (Eds.), The construction of mental representations during reading (pp. 29-69). Mahwah, N.J.: Erlbaum.
: Lau, T. & Horvitz, E. (1999). Patterns of search: Analyzing and modeling web query refinement. En Proceedings of the Seventh international Conference on User Modeling. J. Kay, Ed. Springer-Verlag New York, Secaucus, NJ, 119-128.
: Mannes, S. & St. George, M. (1996). Effects of prior knowledge on text comprehension: A simple modeling approach. En B. Britton & A. Graesser (Eds.), Models of understanding text (pp. 115-140). Hillsdale, NJ.: Erlbaum.
: Martin, J. (1993) Genre and literacy - Modeling context in educational linguistics. En W. Grabe et al. (eds.), Annual review of applied linguistics, 13. Issues in second language teaching and learning. Cambridge: Cambridge University Press. 141-73.
: Mason, L., Pluchino, P. & Tornatora, M. (2015). Eye-movement modeling of integrative Reading of an illustrated text: Effects on processing and learning. Contemporary Educational Psychology, 41, 172-187.
: Pemberton, M.A. (1993) Modeling theory and composing process models. College Composition and Communication, 44, 40-58.
: Rauch, D. & Hartig, J. (2010). Multiple-choice versus open-ended response formats of reading test items: A two-dimensional IRT analysis. Psychological Test and Assessment Modeling, 52(4), 354-379.
: Ruiz de Mendoza, F. & Galera, A. (2014). Cognitive modeling. A linguistic perspective. Amsterdam: John Benjamins.
: Sanders, T. & Spooren, W. (2001). Modeling causal and contrastive connectives: On domains, subjectivity and mental spaces. International Cognitive Linguistics Conference. Santa Barbara, CA: USA.
: Seddiqui, H. & Aono, M. (2010). Metric of intrinsic information content for measuring semantic similarity in an ontology. Proceedings of the 7th Asia-Pacific Conference on Conceptual Modeling (pp. 89–96). Brisbane.
: Sun, R. (1997). Learning, action, and consciousness: A hybrid approach towards modeling consciousness. Neural Networks, 10(7), 1317-1331.
: Tomlin, R. (1995). Modeling individual tutorial interactions: Theoretical and empirical bases of ICALL. En V. Holland, J. Kaplan & M. Sams (Eds.), Intelligent language tutors: Theory shaping technology (pp. 221-241). Hillsdale, N.J.: Erlbaum.
: Valente, A. (1995). Legal knowledge engineering: A modeling approach. Ámsterdam: IOS Press.
: Veel, R. (2006). The write it right project -linguistic modeling of secondary school and the workplace. En R. Whittaker, M. O'Donnell & A. McCabe (Eds.), Language and Literacy: Functional Approaches (pp. 66-93). Londres: Continuum.