Text normalization: Difference between revisions

Revision as of 17:25, 11 April 2016

Revision as of 17:13, 15 September 2017

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== Applications==

Text normalization is frequently used when converting [[speech synthesis|text to speech]]. [[Number]]s, [[Calendar date|date]]s, [[acronym]]s, and [[abbreviation]]s are non-standard "words" that need to be pronounced differently depending on context.<ref name="sproate">Sproat, R.; Black, A.; Chen, S.; Kumar, S.; Ostendorfk, M.; Richards, C. (2001). "Normalization of non-standard words." ''Computer Speech and Language'' '''15'''; 287–333. [[Digital object identifier|doi]]:[httphttps://dx.doi.org/10.1006/csla.2001.0169 10.1006/csla.2001.0169].</ref> For example:

* "$200" would be pronounced as "two hundred dollars" in English, but as "lua selau tālā" in Samoan.<ref>{{cite web