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.
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Lista de candidatos sometidos a examen:
1)
codification (*)
(*) Términos presentes en el nuestro glosario de lingüística
Is in goldstandard
1
paper corpusSignosTxtLongLines455 - : The first step of the learning phase consists of building an output vector, y^µ of length p, for each input vector, x^µ of length z, to be recovered later depending on the type of Alpha-Beta hetero-associative memory to be compute
d. The output vectors would be built employing the one-hot codification ([91]Equation 2) for the type max or the zero-hot codification ([92]Equation 3) for type min (^[93]Román-Godínez & Yáñez-Márquez, 2007):
2
paper corpusSignosTxtLongLines455 - :
3. Binary codification: since the Alpha-Beta hetero-associative model requires binary domain vectors for its operations, the words of senses and context are mapped to a binary representation . In this case, we arbitrarily choose the ASCII code as the binary representation. However, any other binary
codification could be used.
Evaluando al candidato codification:
1) binary: 5
codification
Lengua: eng
Frec: 7
Docs: 4
Nombre propio: / 7 = 0%
Coocurrencias con glosario:
Puntaje: 0.896 = ( + (1+2.58496250072116) / (1+3)));
Candidato aceptado
No se encontraron referencias bibliográficas sociadas al/ alos término(s)
(Que existan referencias dedicadas a un término es también indicio de
terminologicidad.)