Cover not available

Article published In: International Journal of Corpus Linguistics
Vol. 26:2 (2021) ► pp.248283

Get fulltext from our e-platform
References (56)
References
Baayen, R. H., Hendrix, P., & Ramscar, M. (2011a, January 6–9). Sidestepping the combinatorial explosion: Towards a processing model based on discriminative learning [Paper presentation]. Annual Meeting of the Linguistic Society of America. Pittsburgh, USA.
Baayen, R. H., Milin, P., Filipovic Durffevic, D., Hendrix, P., & Marelli, M. (2011b). An amorphous model for morphological processing in visual comprehension based on naive discriminative learning. Psychological Review, 118(3). 438. Google Scholar logo with link to Google Scholar
Baayen, R. H., Endresen, A., Janda, L. A., Makarova, A., & Nesset, T. (2013). Making choices in Russian: Pros and cons of statistical methods for rival forms. Russian Linguistics, 37(3), 253–291. Google Scholar logo with link to Google Scholar
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 671, 1–48.Google Scholar logo with link to Google Scholar
Bello, A., & Cuervo, R. J. (1970). Gramática de la lengua castellana [A Grammar of the Spanish Language]. Sopena Argentina.Google Scholar logo with link to Google Scholar
Branco, P., Ribeiro, R. P., & Torgo, L. (2016). UBL: An R Package for Utility-Based Learning [Computer software]. [URL]
Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5–32. Google Scholar logo with link to Google Scholar
Bybee, J., & Thompson, S. (2000). Three frequency effects in syntax. Berkeley Linguistics Society, 23(1), 378–388. Google Scholar logo with link to Google Scholar
Carrasco Gutierrez, A. (1998). La correlación de tiempos en español [Sequence of Tense in Spanish]. Universidad Complutense de Madrid dissertation.Google Scholar logo with link to Google Scholar
Chawla, N. V., Japkowicz, N., & Kotcz, A. (2004). Special issue on learning from imbalanced data sets. ACM Sigkdd Explorations Newsletter, 6(1), 1–6. Google Scholar logo with link to Google Scholar
Comrie, B. (1985). Tense. Cambridge University Press. Google Scholar logo with link to Google Scholar
Crespo del Río, C. (2014). Tense and Mood Cariation in Spanish Nominal Subordinates: The Case of Peruvian Varieties [Doctoral dissertation, University of Illinois at Urbana-Champaign). IDEALS. [URL]
Davies, M. (2016). Corpus del Español/ Web Dialects 2 billion words. Available online at [URL]
Davis, J., & Goadrich, M. (2006). The relationship between Precision-Recall and ROC curves. In Proceedings of the 23rd International Conference on Machine Learning (pp. 233–240). ACM. Google Scholar logo with link to Google Scholar
Day, M. (2011 June, 21). Variation in the use of the –ra and –se forms of the imperfect subjunctive in Modern Spoken Peninsular Spanish [Paper presentation]. NWAV 40, Georgetown University.
Debeer, D., & Strobl, C. (2019). permimp: (Conditional) Permutation Importance (R package version 0.1–01) [Computer software]. [URL]
DeMello, G. (1993). –ra vs. –se subjunctive: A new look at an old topic. Hispania, 76(2), 235–243. Google Scholar logo with link to Google Scholar
Fox, J. (1987). Effect displays for generalized linear models. Sociological Methodology, 171, 347–361. Google Scholar logo with link to Google Scholar
(2003). Effect displays in R for generalised linear models. Journal of Statistical Software, 8(15), 1–27. Google Scholar logo with link to Google Scholar
Fox, J., & Hong, J. (2009). Effect displays in R for multinomial and proportional-odds logit models: Extensions to the effects package. Journal of Statistical Software, 32(1), 1–24. Google Scholar logo with link to Google Scholar
Fox, J., & Weisberg, S. (2018). Visualizing fit and lack of fit in complex regression models with predictor effect plots and partial residuals. Journal of Statistical Software, 87(9), 1–27. Google Scholar logo with link to Google Scholar
(2019). An R Companion to Applied Regression (3rd ed.). Sage. [URL]
García, V., Mollineda, R. A., & Sánchez, J. S. (2010). Theoretical analysis of a performance measure for imbalanced data. In 20th International Conference on Pattern Recognition (pp. 617–620). IEEE. [URL].
Gili Gaya, S. (1983). Curso superior de sintaxis española [Advanced Course on Spanish Syntax]. Colton Book Imports.Google Scholar logo with link to Google Scholar
Goldberg, A. E. (1995). Constructions: A Construction Grammar Approach to Argument Structure. The University of Chicago Press.Google Scholar logo with link to Google Scholar
Guajardo, G., & Goodall, G. (2019). On the status of concordantia temporum in Spanish: An experimental approach. Glossa, 4(1), 116. Google Scholar logo with link to Google Scholar
He, H., Bai, Y., Garcia, E. A., & Li, S. (2008). ADASYN: Adaptive synthetic sampling approach for imbalanced learning. In 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 1322–1328. IEEE. [URL]
He, H. & Garcia, E. A. (2009). Learning from imbalanced data. IEEE Transactions on Knowledge & Data Engineering, 21(9), 1263–1284. Google Scholar logo with link to Google Scholar
Hothorn, T., Bühlmann, P., Dudoit, S., Molinaro, A., & Van Der Laan, M. J. (2005). Survival ensembles. Biostatistics, 7(3), 355–373. Google Scholar logo with link to Google Scholar
Krawczyk, B. (2016). Learning from imbalanced data: Open challenges and future directions. Progress in Artificial Intelligence, 5(4), 221–232. Google Scholar logo with link to Google Scholar
Laca, B. (2010). The puzzle of subjunctive tenses. In R. Box-Bennema, B. Kampers-Manhe, & B. Hollebrandse (Eds.), Romance Languages and Linguistic Theory 2008: Selected Papers from ‘Going Romance’ Groningen 2008 (pp. 77–104). John Benjamins. Google Scholar logo with link to Google Scholar
Lapesa, R. (1997). Historia de la Lengua Española [History of the Spanish Language]. Biblioteca Románica Hispánica.Google Scholar logo with link to Google Scholar
Lathrop, T. A. (1980). The Evolution of Spanish. Juan de la Cuesta.Google Scholar logo with link to Google Scholar
Lopez Samaniego, A., & Kempas, I. (2018). Querría que me lo compruebes/comprobaras/comprobases: Verb tense choice after expressions of attenuated volition in European Spanish. Estudios Filologicos, 611, 35–58.Google Scholar logo with link to Google Scholar
López, V., Fernández, A., García, S., Palade, V., & Herrera, F. (2013). An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics. Information Sciences, 2501, 113–141. Google Scholar logo with link to Google Scholar
Lunn, P. V. (1995). The evaluative function of the Spanish subjunctive. In J. Bybee & S. Fleischman (Eds.), Modality in Grammar and Discourse (pp. 429–449). John Benjamins. Google Scholar logo with link to Google Scholar
Naranjo, M. G. (2017). The se-ra alternation in Spanish subjunctive. Corpus Linguistics and Linguistic Theory, 13(1), pp.97–134.Google Scholar logo with link to Google Scholar
Olson, D. L., & Delen, D. (2008). Performance evaluation for predictive modeling. In Advanced Data Mining Techniques (pp. 137–147). Springer. Google Scholar logo with link to Google Scholar
Penny, R. (1991). A History of the Spanish Language. Cambridge University Press.Google Scholar logo with link to Google Scholar
Picallo, C. (1984). “El nudo FLEX y el parámetro del sujeto nulo” [The IP and pro-drop parameter]. In I. Bosque (Ed), Indicativo y subjuntivo [Indicative and Subjunctive] (pp. 202–233). Taurus.Google Scholar logo with link to Google Scholar
Provost, F. (2000). Machine learning from imbalanced data sets 101. In Proceedings of the AAAI’2000 Workshop on Imbalanced Data Sets. AAAI Press. [URL]
Quer, J. (1998). Mood at the Interface. Holland Academic Graphics.Google Scholar logo with link to Google Scholar
R Core Team. (2019). R: A language and environment for statistical computing (Version 3.6.1) [Computer software]. R Foundation for Statistical Computing. [URL]
Raeder, T., Forman, G., & Chawla, N. V. (2012). Learning from imbalanced data: Evaluation matters. In D. E. Holmes & J. C. Lakhmi (Eds.), Data Mining: Foundations and Intelligent Paradigms (pp. 315–331). Springer. Google Scholar logo with link to Google Scholar
Rosemeyer, M., & Schwenter, S. A. (2019). Entrenchment and persistence in language change: The Spanish past subjunctive. Corpus Linguistics and Linguistic Theory, 15(1), 167–204. Google Scholar logo with link to Google Scholar
Sessarego, S. (2008). Spanish concordantia temporum: An old issue, new solutions. In M. Westmoreland & J. A. Thomas (Eds.), Selected Proceedings of the 4th Workshop on Spanish Sociolinguistics (pp. 91–99). Cascadilla Proceedings Project. [URL]
(2010). Temporal concord and Latin American Spanish dialects: A genetic blueprint. Revista Iberoamericana de Lingüística, 51, 137–169.Google Scholar logo with link to Google Scholar
Strobl, C., Boulesteix, A. L., Zeileis, A., & Hothorn, T. (2007). Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC Bioinformatics, 8(1). Google Scholar logo with link to Google Scholar
Strobl, C., Boulesteix, A. L., Kneib, T., Augustin, T., & Zeileis, A. (2008). Conditional variable importance for random forests. BMC Bioinformatics, 9(1). Google Scholar logo with link to Google Scholar
Suñer, M., & Padilla-Rivera, J. (1987). Sequence of tenses and the subjunctive. Hispania, 70(3), 634–642. Google Scholar logo with link to Google Scholar
Tharwat, A. (2020). Classification of assessment methods. Applied Computing and Informatics. Advance online publication. Google Scholar logo with link to Google Scholar
Venables, W. N., & Ripley, B. D. (2002). Random and mixed effects. In Modern Applied Statistics with S (pp. 271–300). Springer. Google Scholar logo with link to Google Scholar
Wallace, B. C., & Dahabreh, I. J. (2012). Class probability estimates are unreliable for imbalanced data (and how to fix them). In Institute of Electrical and Electronics Engineers (IEEE) 12th International Conference on Data Mining (International Conference on Data Mining) (pp. 695–704). IEEE Computer Society. Google Scholar logo with link to Google Scholar
Wurmbrand, S. (2014). Tense and aspect in English infinitives. Linguistic Inquiry, 45(3), 403–447. Google Scholar logo with link to Google Scholar
Cited by (1)

Cited by one other publication

Rosemeyer, Malte
2023. Syntactic priming and individual preferences. In Free Variation in Grammar [Studies in Language Companion Series, 234],  pp. 260 ff. DOI logo

This list is based on CrossRef data as of 12 december 2025. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Mobile Menu Logo with link to supplementary files background Layer 1 prag Twitter_Logo_Blue