wassname/phoneme2grapheme
Teaching machines to spell with deep learning (acc=>80%) e.g. a model hears "pɹˈaʊd˺ɚ" and writes "prowder" (but it should be "prouder")
This tool helps convert spoken sounds (phonemes) into written words (graphemes), essentially teaching a computer to spell based on how words are pronounced. You input phonetic representations of words, and it outputs a likely spelling. It's designed for linguists, speech researchers, or educators who work with speech-to-text conversion and language processing.
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Use this if you need to automatically generate spellings from phonetic transcriptions and want to explore deep learning approaches to this task.
Not ideal if you require perfectly accurate spelling conversions every time, as the current model has an error rate of about 20%.
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Jun 01, 2017
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