Tesis para optar al grado de Magíster en Lingüistica mención Lengua Inglesa / Studying children’s language acquisition in natural settings is not cost and
time effective. Therefore, language acquisition may be studied in an artificial setting
reducing the costs related to this type of research. By artificial, I do not mean that
children will be placed in an artificial setting, first because this would not be ethical
and second because the problem of the time needed for this research would still be present. Thus, by artificial I mean that the tools of simulation found in artificial
intelligence can be used. Simulators as artificial neural networks (ANNs) possess the capacity to simulate different human cognitive skills, as pattern or speech recognition, and can also be implemented in personal computers with software
such as MATLAB, a numerical computing software. ANNs are computer simulation
models that try to resemble the neural processes behind several human cognitive skills. There are two main types of ANNs: supervised and unsupervised. The
learning processes in the first are guided by the computer programmer, while the learning processes of the latter are random.
| Identifer | oai:union.ndltd.org:UCHILE/oai:repositorio.uchile.cl:2250/115653 |
| Date | January 2013 |
| Creators | Flores Quiroz, Martín |
| Contributors | Atoofi, Saeid, Facultad de Filosofía y Humanidades, Escuela de Postgrado, Departamento de Lingüística |
| Publisher | Universidad de Chile |
| Source Sets | Universidad de Chile |
| Language | en_US |
| Detected Language | English |
| Type | Tesis |
| Rights | Attribution-NonCommercial-ShareAlike 3.0 Chile, http://creativecommons.org/licenses/by-nc-sa/3.0/cl/ |
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