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Showing 1 to 2 of 2 for “"transformation-based error-driven learning"”.
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The Application of P-Bar Theory in Transformation-Based Error-Driven Learning
… Perkins et al. (2014) proposed a rule based method for determining the context of a partext (i.e., a part of a text document). </p> <p>In <em>Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging </em>Brill (1995) demonstrates …
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Rule based learning of word pronunciations from training corpora
… describes a text-to-pronunciation system using transformation-based error-driven learning for speech-recognition purposes. Efforts have been made to make the system language independent, automatic, robust and able to generate multiple pronunciations. The learner proposes initial pronunciations …