Modeling word perception using the Elman network
نویسندگان
چکیده
This paper presents an automatic acquisition process to acquire the semantic meaning for the words. This process obtains the representation vectors for stemmed words by iteratively improving the vectors, using a trained Elman network. Experiments performed on a corpus composed of Shakespeare’s writings show its linguistic analysis and categorization abilities. & 2008 Elsevier B.V. All rights reserved.
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ورودعنوان ژورنال:
- Neurocomputing
دوره 71 شماره
صفحات -
تاریخ انتشار 2008