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

1) Candidate: semantic analysis


Is in goldstandard

1
paper CL_LiteraturayLingüísticatxt71 - : When dealing with semantic analysis, the researcher can proceed from different angles and perspectives, such as from the level of the word to more complex units of analysis in semantics: the sentence, utterance, proposition and text .

2
paper CL_LiteraturayLingüísticatxt153 - : Latent Semantic Analysis: A psychological theory of the meaning ?

3
paper CO_ColombianAppliedLinguisticsJournaltxt144 - : The idea behind intentional semantics is the philosophical view that words may contain multiple senses as part of their semantic structure. Meaning is cast upon its real use which assigns sets of readings. Jerrold J. Katz was the first linguist to talk about projecting meaning from underlying structures and paved the way for undertaking interpretation of ambiguous meaning within the linguistic description. This pragmatic view to meaning as being produced by many meanings was further developed in other more accountable models. In particular, Stanley Fish (1980) views the sentence in the literary text as an event to which he gives a particular meaning from a semantic analysis proceeding first from raising possible meanings and then expanding the analysis to the limitation and assertion of a one meaning which is established from the coming words in the text. Fish's semantic analysis is shown in the following example he took from Paradise Lost of John Milton:

4
paper CO_ColombianAppliedLinguisticsJournaltxt144 - : When literary meaning is not clear from words' constituency, it is put distanced whereby values of words get represented in a restricted form. If this has to signal something to the understanding of literary meaning it is the necessity to analyse words into different components or what we can call all possible components, whether major or minor, because they set the lexical interaction. As such, meaning obtains from a lexical decomposition which is a pure semantic task free from syntactic constraints. Modern semantic theories stand all on the principle of compositionality despite their different frameworks. For this reason the componential analysis becomes a basis of the semantic analysis:

5
paper CO_FormayFuncióntxt105 - : As regards the translation of the novel's opening line, which plays such a crucial role in the development of the narrative, Rabassa also reflects on how he translated some key words: "Había de could have been would (How much wood can a woodchuck chuck?), but I think was to has a better feeling to it. I chose remember over recall because I feel that it conveys a deeper memory. Remote might have aroused thoughts of such inappropriate things as remote control and robots. Also I liked distant when used with time" (ibid., p. 97). Finally, as to the translation of the original term 'conocer el hielo', Rabassa does a semantic analysis:

6
paper corpusSignostxt322 - : Summaries assessment in Spanish using Latent Semantic Analysis: A possible implementation

7
paper corpusSignostxt124 - : Latent Semantic Analysis: an Overview of its Development

8
paper corpusSignostxt176 - : Latent Semantic Analysis:

9
paper corpusSignostxt176 - : El LSA (del inglés Latent Semantic Analysis) es un tipo de análisis computacional que permite determinar y cuantificar la similitud semántica entre piezas textuales -sean palabras, documentos o palabras y documentos- de un corpus de textos pertenecientes a un mismo dominio de conocimiento . Para ello, el sistema computacional del LSA sigue un algoritmo matemático que tiene como centro a la técnica de factorización lineal conocida como descomposición de valores singulares (SVD, sigla del inglés Singular Value Decomposition), a partir de la cual se genera una representación vectorial del corpus o espacio semántico en cuya conformación y posterior utilización reconocemos dos supuestos lingüísticos acerca del significado: (1) el significado es contextualmente dependiente y (2) en el uso contextual hay relaciones de similitud semántica que están latentes.

Evaluando al candidato semantic analysis:


3) latent: 5
4) literary: 3 (*)

semantic analysis
Lengua: eng
Frec: 120
Docs: 33
Nombre propio: 5 / 120 = 4%
Coocurrencias con glosario: 1
Puntaje: 1.527 = (1 + (1+3.16992500144231) / (1+6.9188632372746)));
Candidato aceptado

Referencias bibliográficas encontradas sobre cada término

(Que existan referencias dedicadas a un término es también indicio de terminologicidad.)
semantic analysis
: 9. Dowty, David. 1977. Towards a semantic analysis of verb aspect and the English imperfective progressive. Linguistics and Philosophy 1. 45-77.
: Crossley, S. A., Salsbury, T. & McNamara, D. S. (2010b). The development of semantic relations in second language speakers: A case for Latent Semantic Analysis. Vigo International Journal of Applied Linguistics, 7, 55-74.
: Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K. & Harshman, R. (1990). Indexing by Latent Semantic Analysis. Journal of the American Society for Information Science, 41(6), 391-407.
: 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.
: Dennis, S., Landauer, T., Kinstch, W. & Quesada, J. (2003). Introduction to latent semantic analysis [en línea]. Disponible en: [36]http://lsa.colorado.edu/~quesadaj/pdf/LSATutorial.pdf
: Diana Pérez, Alfio Gliozzo, Enrique Alfonseca, Carlo Strapparava, Bernardo Magnini & Pilar Rodríguez, About the effects of combining Latent Semantic Analysis with natural language processing techniques for free-text assessment
: Dunn, J., Almeida, O., Barclay, L., Waterreus, A. & Flicker, L. (2002). Latent semantic analysis: A new method to measure prose recall. Journal of Clinical and Experimental Neuropsychology, 24(1), 26-35.
: Escobar, A. M. (1992). Revisiting the «present perfect»: Semantic analysis of Andean colonial documents. Lingua, 122, 470-480.
: Foltz, P. (1996). Latent Semantic Analysis for text-based research. Behavior Research Methods, Instruments and Computers, 28(2), 197-202.
: Foltz, P. , Kintsch, W. & Landauer, T. (1998). The measurement of textual coherence with latent semantic analysis. Discourse Processes, 25, 285-307.
: Foltz, P. W. (1996) Latent Semantic Analysis for text-based research. Behavior Research Methods, Instruments and Computers. 28(2), 197-202.
: Foltz, P., Kintsch, W. & Landauer, T. (1998). The measurement of textual coherence with latent semantic analysis. Discourse Processes, 25 (2-3), 285-307.
: Goddard, Cliff. (1998). Semantic analysis: A practical introduction. New York: Oxford University Press.
: Graesser, A., Wiemer-Hastings, P., Wiemer-Hastings, K., Harter, D., Person, N. & Tutoring Research Group (2000). Using latent semantic analysis to evaluate the contributions of students in AutoTutor. Interactive Learning Environments, 8, 129-148.
: Kelly, G. J., y Bazerman, C. (2003). How Students Argue Scientific Claims: A Rhetorical- Semantic Analysis. Applied Linguistics, 24(1), 28-55.
: Kintsch, W. (2007). Meaning in context. En T. Landauer, D. McNamara, S. Dennos & W. Kintsch (Eds.), Handbook of Latent Semantic Analysis (pp. 89-105). Mahwah, NJ.: Erlbaum.
: Landauer, T. & Dumais, S. (1997) A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction and representation of knowledge. Psychological Review, 104, 211-240.
: Landauer, T. K. & Psotka, J. (2000). Simulating text understanding for educational applications with latent semantic analysis: Introduction to LSA. Interactive Learning Environments, 8(2), 73-86.
: Landauer, T. K., Foltz, P. W. & Laham, D. (1998). Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259-284.
: Landauer, T., McNamara D., Dennis, S. & Kintsch, W. (2007). Handbook of latent semantic analysis, Hillsdale, NJ: Erlbaum.
: Landauer, T.K. & Dumais, S.T. (1997). A solution to Plato´s problem: The latent semantic analysis theory of acquisition, induction and representation of knowledge. Psychological Review, 104, 211-240.
: Landauer, Th. (1999) Latent Semantic Analysis: A Theory of the Psychology of language an Mind. Discourse Processes, 27(3), 303-310.
: Landauer, Th., y Dumais, S. (1997) A solution to Platos problem: the latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104, 211-240.
: Landauer,Th.; Foltz,P. y Laham,D. (1998) An Introduction to Latente Semantic Analysis. Discourse Processes.25(2&3), 259-284.
: León, I, Olmos, R., Escudero, I., Cañas, J. & Salmerón, L. (2006). Assessing short summaries with human judgments procedure and Latent Semantic Analysis in narrative and expository texts. Behavior Research Methods, Instruments and Computers, 38(4), 616-627.
: Magliano, J. P., Wiemer-Hastings, K., Millis, K. K., Muñoz, B. D., & McNamara, D. S. (2002). Using latent semantic analysis to assess reader strategies. Behavior Research Methods, Instruments, and Computers, 34,181-188.
: Martin, D. & Berry, M. (2007). Mathematical foundations behind latent semantic analysis. En T. Landauer, D. McNamara, S. Dennos & W. Kintsch (Eds.), Handbook of Latent Semantic Analysis (pp. 35-56). Mahwah, NJ.: Erlbaum.
: Miller, T. (2003). Essay Assessment with Latent Semantic Analysis. Journal of Educational Computing Research, 29(4), 495-512.
: Pérez, D., Alfonseca, E., Rodriguez, P., Gliozzo, A., Strapparava, C, &Magnini, B. (2005). About the effects of combining Latent Semantic Analysis with natural language processing techniques for free-text assessment. Revista Signos, 38(59), 325-343.
: Quesada, J., Kintsch, W. & Gómez, E. (2002). A theory of complex problem solving using latent semantic analysis [en línea]. Disponible en: [81]http://lsa.colorado.edu/~quesadaj/pdf/QuesadaKintschGomezCogSci02.pdf
: Ramakrishnan, G., Prithviraj, B. & Bhattacharyya, P. (2004). A gloss-centered algorithm for disambiguation. Proceedings of SENSEVAL-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text.
: Rehder, B., Schreiner, M. E., Wolfe, M. B., Laham, D., Landauer, T. K. & Kintsch, W. (1998). Using Latent Semantic Analysis to assess knowledge: Some technical considerations. Discourse Processes, 25, 337-354.
: Steinhart, D. (2001). Summary Street: An intelligent tutoring system for improving student writing through the use of latent semantic analysis. Tesis doctoral, University of Colorado, Boulder, USA.
: Venegas, R. (2007). Using Latent Semantic Analysis in a Spanish research article corpus. En G. Parodi (Ed.), Working with Spanish corpora (pp. 195- 216). London: Continuum.
: Wolfe, M. & Goldman, S. (2003). Use of latent semantic analysis for predicting psychological phenomena: Two issues and proposed solutions. Behavior Research Methods, Instruments, & Computers, 35(1), 22-32.
: Wolfe, M. B.; Schreiner, M. E.; Rehder, B.; Laham, D.; Foltz, P. W.; Kintsch, W. y Landauer, T. K. (1998). Learning from text: Matching readers and text by Latent Semantic Analysis. Discourse Processes, 25, 309-336.