AUTOMATIC LEARNING OF ENTITIES, WORDS, PRONUNCIATIONS, AND PARTS OF SPEECH
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United States of America
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Issued Date -
Nov 14, 2024
app pub date -
Jul 25, 2024
filing date -
Jul 25, 2024
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Abstract
Systems for automatic speech recognition and/or natural language understanding automatically learn new words by finding subsequences of phonemes that, if they were a new word, would enable a successful tokenization of a phoneme sequence. Systems can learn alternate pronunciations of words by finding phoneme sequences with a small edit distance to existing pronunciations. Systems can learn the part of speech of words by finding part-of-speech variations that would enable parses by syntactic grammars. Systems can learn what types of entities a word describes by finding sentences that could be parsed by a semantic grammar but for the words not being on an entity list.
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