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Morfología de estados finitos

Authors: Alegría Loinaz, Iñaki;

Morfología de estados finitos

Abstract

En este artículo se presentan los distintos modelos computacionales para la morfología y dentro de ellos se profundiza en el modelo más extendido de estados finitos: la morfología (fonología) de dos niveles. Antes de examinar los diferentes formalismos morfológicos se introducen las características y fundamentos morfológicos elementales que van a ayudar a analizar los distintos modelos. Tomando como base esas características se propone una clasificación, ubicando dentro de la misma distintos sistemas que aparecen en la bibliografía, algunos de los cuales son presentados antes de profundizar en uno de ellos: la morfología de dos niveles. Una vez detallados los elementos básicos de la morfología de dos niveles se entra a discutir sus ventajas e inconvenientes, pasándose, a continuación, a examinar las mejoras propuestas para su parte más discutible, la morfotáctica. Por último, se examina someramente la complejidad del modelo computacional de dos niveles para comprobar su adecuación a aplicaciones reales. Finalmente se ofrece una bibliografía básica entre la que cabe destacar el libro de R. Sproat "Morphology and Computation" (1992), del cual se han obtenido parte de la información que aquí se presenta.

Country
Spain
Related Organizations
Keywords

Análisis morfológico, Morfología de estados finitos, Morfología de dos niveles

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green