An FGREP Investigation into Phonotactics
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چکیده
We discuss experiments with neural networks being trained in a phonotactic processing task. A recurrent network not only learns to predict the next letter given a partial processed word, but also learns to represent the letters in a manner meaningful to the processing task. To this end, we use Miikkulainen’s (1993) FGREP, augmented with an algorithm we call dispersion, to improve distinctness among the set of letter representations. Our goal is to create a more realistic model of how humans might process natural language.
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تاریخ انتشار 1999