NEURAL NETWORK MODEL OF INTEGRATED PHONETIC SIMILARITY ALGORITHMS FOR IMPROVED TRADEMARK SEARCH AND RETRIEVAL
Must be written in English and formatted in double-column format (A4 size)
Maximum of six (6) pages in total
This research paper should demonstrate that multiple phonetic
similarity algorithms can be integrated to improve trademark search and
retrieval using neural network. It should also develop a technique to augment trademark data for neural network by incorporating phonetic transformations. This could involve generating phonetically similar variations of words or sentences to improve the robustness and generalization capabilities of the model.
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