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

1) Candidate: computing


Is in goldstandard

1
paper corpusSignosTxtLongLines455 - : The performance of the ABWSD method was evaluated by computing the following measures:

Evaluando al candidato computing:



computing
Lengua:
Frec: 53
Docs: 35
Nombre propio: / 53 = 0%
Coocurrencias con glosario:
Puntaje: 0.148 = ( + (1+0) / (1+5.75488750216347)));
Candidato aceptado

Referencias bibliográficas encontradas sobre cada término

(Que existan referencias dedicadas a un término es también indicio de terminologicidad.)
computing
: Aldape-Pérez, M., Yáñez-Márquez, C., Camacho-Nieto, O. & Ferreira-Santiago, Á. (2013). Feature selection using associative memory paradigm and parallel computing. Computación y Sistemas, 17(1), 41-52.
: Alonso-Almeida, F. (2012). Sentential evidential adverbs and authorial stance in a corpus of English computing articles. Revista de Lingüística y Lenguas Aplicadas 7, 9-21.
: Biber, D. (1993). Representativeness in corpus design. Literary and Linguistic Computing, 8(4), 243-257.
: Bonial, C., Corvey, W., Palmer, M., Petukhova, V. V. & Bunt, H. (2011). A hierarchical unification of LIRICS and VerbNet semantic roles. Ponencia presentada en Semantic Computing (ICSC), 2011 Fifth IEEE International Conference (pp. 483-489). Palo Alto, California.
: Breure, L. (2001). Development of the genre concept. University of Utrecht, Department of Information and Computing Sciences [on line]. Available in: [26]http://www.cs.uu.nl/people/leen/Gen-reDev/GenreDevelopment.htm
: Busa, F., Calzolari, N., Lenci, A. & Pustejovsky, J. (2001). Building a semantic lexicon: Structuring and generating concepts. En H. Bunt, R. Musken & E. Thijsse (Eds.), Computing Meaning (pp. 29-51). Dordrecht: Kluwer Academic Publishers.
: Feltrim, V. D., Teufel, S., das Nunes, M. G. V. & Aluísio, S. M. (2006). Argumentative zoning applied to critiquing novices’ scientific abstracts. In J. Wiebe & Y. Qu (Eds.), Computing Attitude and Affect in Text: Theory and Applications (pp. 233-246). Dordrecht: Springer.
: Fischer, G. & Stevens, C. (1991). Information access in complex, poorly structured information spaees. En Proceedings Eighth ACM Conference on Human Factors in Computing Systems. New Orleans, Louisiana, pp. 63-70.
: González-López, S. & López López, A., (2015). Lexical analysis of student research drafts in computing. Computer Applications in Engineering Education, 23(4), 638-644.
: Halliday, M. (1995). Computing meanings: Some reflections on past experience and present prospects. Macquarie University.
: Harwood, N. (2005b). ‘I hoped to counteract the memory problem, but I made no impact whatsover’: Discussing methods in computing science using I. English for Specific Purposes, 24, 243-267.
: Hiippala, T. (2012). The interface between rhetoric and layout in multimodal artefacts. Literary and Linguistic Computing, 28(3), 461-471.
: Jin, W. & Srihari, R. K. (2007). Graph-based text representation and knowledge discovery. Ponencia presentada en ACM symposium on Applied computing, Nueva York, Estados Unidos.
: Langsrud, Ø. (2003). ANOVA for unbalanced data: Use type II instead of type III sums of squares. Statistics and Computing, 13(2), 163- 67.
: Lascarides, A. & Asher, N. (2008). Segmented discourse representation theory: Dynamic semantics with discourse structure. En H. Bunt & R. Muskens (Eds.), Computing meaning (pp. 87-124). Dordrecht: Springer.
: Lewis, W., Hall, L., Carr, A. &De Roure, D. (1999). The significance of linking. kCM Computing surveys, 31 (4). [on line]. Available in: [39]http://www.cs.brown.edu/memex/ACM_HypertextTestbed/pa-pers/20.html
: Lexical Computing Ltd. (s. f.). Sketch Engine [en línea]. Disponible en: [144]http://www.sketchengine.co.uk/
: Maron, M. & Kuhns, J. (1960). On relevance, probabilistic indexing, and information retrieval. Journal of the Association for Computing Machinery, 7(3), 216-244.
: McKee, G., Malvern, D. & Richards, B. (2000). Measuring vocabulary diversity using dedicated software. Literary and Linguistic Computing, 15(3), 323-337.
: Miller, T. (2003). Essay Assessment with Latent Semantic Analysis. Journal of Educational Computing Research, 29(4), 495-512.
: Navigli, R. (2009). Word sense disambiguation: A survey. ACM Computing Surveys (CSUR), 41(2), 10.
: Periñán-Pascual, C. & Arcas-Túnez, F. (2005). Microconceptual-Knowledge Spreading in FunGramKB. Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing (pp. 239-244). Anaheim-Calgary-Zúrich: ACTA Press.
: R Core Team. (2016). A language and environment for statistical computting. R Foundation for Statistical Computing. Vienna, Austria [on line]. Retrieved from: [130]https://www.r-project.org/
: Sebastiani, F. (2002). Machine learning in automated text categorization. ACM Computing Survey, 34(1), 1-47.
: Shepherd, C. & Hannafin, M. J. (2008). Facilitating professional development through video based, formative assessment e-portfolios. Journal of Computing in Teacher Education, 25, 63-69.
: Sinclair, J. (Ed.). (1987). Looking up: An Account of the COBUILD Project in Lexical Computing. Glasgow: HarperCollins.
: Sinha, R. & Mihalcea R. (2007). Unsupervised graph-basedword sense disambiguation using measures of word semantic similarity. Proceedings of the Semantic Computing (ICSC), 2007 IEEE International Conference (pp. 363-369). California: Irvine.