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Update: February 24, 2023 The new version of Termout.org is now online, so this web site is now obsolete and will soon be dismantled. |
Lista de candidatos sometidos a examen:
1) generation (*)
(*) Términos presentes en el nuestro glosario de lingüística
1) Candidate: generation
Is in goldstandard
1
paper corpusSignosTxtLongLines183 - : Lavid, J., Arús, J. & Zamorano, J. (2002). Developing a corpus-based generation grammar of Spanish: A contrastive study with English . En L. Iglesias & S. Doval (Eds.), Studies in contrastive linguistics (pp. 569-578). Santiago de Compostela: Publicaciones de la Universidad de Santiago de Compostela. [ [92]Links ]
2
paper corpusSignosTxtLongLines192 - : CLG rules involved in the generation of representations like Diagram 3 are all implications which can be represented as in (4i), read as in (4ii), and interpreted as in (4iii):
3
paper corpusSignosTxtLongLines192 - : [77]14 Under interactive generation, RedACTe makes a distinction between two sets of feature: underlying features, for use by the generator, and interface features, for a friendly presentation to the user of the system . Of course, all features in rules in Figures 2-3 are underlying features.
4
paper corpusSignosTxtLongLines432 - : Rowlands, I., Nicholas, D., Williams, P., Huntington, P., Fieldhouse, M., Gunter, B., Withey, R., Jamali, H., Dobrowolski, T. & Tenopir, C. (2008). The Google generation: The information behaviour of the researcher of the future . Asilib Proceedings, 60(4) [en línea]. Disponible en: [68]http://www.emeraldinsight.com/doi/full/10.1108/00012530810887953 [ [69]Links ]
5
paper corpusSignosTxtLongLines451 - : Correct pronunciation is a very important aspect of second language (L2) acquisition, indispensable not only for speech generation but also for adequate listening comprehension because the articulatory and auditory systems are interrelated: a learner is hardly able to recognize a sound s/he has never produced since it is absent in the first language or L1 (^[25]Levis, 2005 ). However, less accented speech generation and perfect listening comprehension are included in the requirements for some jobs, for instance, operators in call centers, so it is not a rare case that a learner may need more effective training in pronunciation (^[26]Hunter & Hachimi, 2012; ^[27]Lockwood, 2012).
6
paper corpusSignosTxtLongLines455 - : 5. Generation of the associative memory matrices: several fundamental sets are built, one per sense, according to one of the memory models presented in Section 1 .2.1. For each fundamental set, a learning matrix is then generated.
7
paper corpusSignosTxtLongLines493 - : En “The development of narrative discourse in french by 5 to 10 years old children: some insights from a Conversational Interaction Method”, Edy Veneziano estudia si niños pequeños pueden producir textos narrativos más complejos y orientados a aspectos mentales, tras participar en una conversación en torno a las causas de los eventos de la historia. Los resultados muestran que, tras tomar parte en este método, los niños produjeron textos más coherentes y orientados a la mente, mejora que no se encontró en el grupo control. En la misma línea, “The Relationships Between Oral and Written Sentence Generation in English Speaking Children: The Role of Language and Literacy Skills”, por Julie E . Dockrell y Vincent Connelly, aborda la interacción entre oraciones escritas y orales producidas por niños en dos sesiones diferentes. Si bien el desempeño en ambas modalidades mejoró, el progreso en la prueba oral fue considerablemente mayor y se determinó que el desempeño en la oralidad
8
paper corpusSignosTxtLongLines509 - : The traditional classification between concrete and abstract nouns, although questioned (Bosque & Demonte, 1999), continues to be used by numerous authors from different theoretical perspectives (among the most current, García Meseguer, 2007; Battaner, 2017). We start from the hypothesis that nouns cannot be classified as concrete or abstract, but that there is a continuum between both poles. In the present work, we analyze the resemantizations of a subtype of abstract nouns, the temporal nouns (García Meseguer, 2007) or second-order nouns (Lyons, 1977; Schmid, 2000), as ‘tijeretazo’, with the meaning of ‘cut of economic or human resources towards a sector or company’ and ‘blindaje’, with the sense of ‘action and effect of protecting something’, documented in the Argentine written press, with the purpose of analyzing the continuum observed in the class of temporal abstract nouns, from a generation model of lexical meaning: the Generative Lexicon (Pustejovsky, 1995, 2011 ). According to this
Evaluando al candidato generation:
1) nouns: 6 (*)
2) abstract: 4
generation
Lengua: eng
Frec: 82
Docs: 43
Nombre propio: 2 / 82 = 2%
Coocurrencias con glosario: 1
Frec. en corpus ref. en eng: 136
Puntaje: 1.605 = (1 + (1+3.4594316186373) / (1+6.37503943134693)));
Rechazado: muy común;
Referencias bibliográficas encontradas sobre cada término
(Que existan referencias dedicadas a un término es también indicio de terminologicidad.)| generation |
: Arús, J. & Lavid, J. (2001). The grammar of relational processes in English and Spanish: Implications for machine-aided translation and multilingual generation. Estudios Ingleses de la Universidad Complutense, 9, 61-79. : Chian, C., Wan, Y. & Chen, S. (2012). Punctuation generation inspired linguistic features for mandarin prosodic boundary prediction. ICASSP 2012, 4597-4600. : Crossley, S., Muldner, K. & McNamara, D. (2016). Idea generation in student writing: Computational assessments and links to successful writing. Written Communication, 33(3), 328-354. : Fawcett, R. (2000c). In place of Halliday's 'verbal group'. Part 2: Evidence from generation, semantics and interruptability'. Word, 51(3), 327-75. : Fawcett, R., Tucker, G. & Lin, Y. (1993). How a systemic functional grammar works: The role of realization in realization. In H. Horacek & M. Zock (Eds.), New concepts in natural language generation (pp. 114-86). London: Pinter. : Graesser, A., E Bertus y J. Magliano. 1995. Inference generation during the comprehension of narrative text, en Lorch, R. y E. O'Brien (eds.), Source of coherence in reading. Hillsdale, NJ: Erlbaum. : Graesser, A.C. & Kreuz, R. (1993). A theory of inference generation during text comprehension. Discourse Processes, 16, 145-160. : Hovy, E. H. & Wanner, L. (1996). Managing Sentence Planning Requirements. Ponencia presentada en el Workshop on New Directions in Planning and Natural Language Generation at the 12th European Conference on Artificial Intelligence, Hungría. : Hovy, E., Lavid, J., Maier, E., Mittal, V. & Paris, C. (1992). Employing knowledge resources in a new text planner architecture. En R. Dale, E. Hovy, D. Rösner & O. Stock (Eds.), Aspects of automated natural language generation (pp. 57-72). Berlín y Heildeberg: Springer. : Jefferson, G. (2004). Glossary of transcript symbols with an Introduction. En G. Lerner (Ed.), Conversation Analysis: Studies from the first generation (pp.13-23). Philadelphia: John Benjamins. : Magliano, J. & Graesser, A.C. (1991). A three-pronged method for studying inference generation in literary texts. Poetics, 20, 193-232. : Mathews, E., Jackson, G., Person, N. & Graesser, A. (2003). Discourse patterns in why/AutoTutor. Actas de the 2003 AAAI Spring Symposia on Natural Language Generation in Spoken and Written Dialogue. (pp. 97-103). Palo Alto, Estados Unidos de Norteamérica. : Matthiessen, C.M.I.M. & Bateman, J. (1991). Text generation and Systemic Functional Linguistics: Experiences from English and Japanese. London: Pinter. : McDonald, D. (1992). Natural Language Generation. En C. Stuart Sapiro (Ed.), Encyclopedia of Artificial Intelligence (pp. 983-997). Nueva York: John Wiley and Sons. : Nagata, N. (2009). Robo-Sensei NLP-based error detection and feedback generation. CALICO Journal, 26(3), 262-279. : Otero, J., Ishiwa, K., Caldeira, M., Macías, A., Maturano, C. & Sanjosé, V. (2004). Question asking and question generation on scientific texts. Ponencia presentada en el 1st International Seminar on Research on Questioning, Universidade de Aveiro, Aveiro, Portugal. : Reiter, E. & Dale, R. (2000). Building Natural Language Generation Systems. Cambridge: Cambridge University Press. : Venegas, M. J. & Mansur, L. L. (2011). Verbal fluency: Effect of time on item generation. Dementia & Neuropsychologia, 5(2), 104-107. : White, M. (1995). Presenting punctuation. En Proceedings of the Fifth European Workshop on Natural Language Generation (pp. 107-125). Leiden: The Netherlands. : Yamaguchi, M. (2005). Discursive representation and enactment of national identities: The case of Generation 1.5 Japanese. Discourse & Society, 16(2), 269-299. : van den Broek, P. (1990). The causal inference maker: Towards a process model of inference generation in text comprehension. En D. Balota, G. d’Arcais & K. Rayner (Eds.), Comprehension processes in reading (pp. 423-445). Hillsdale, N.J.:Erlbaum. |