Difference between revisions of "Automatic text normalisation"
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(Created page with " ==General ideas== * Diacritic restoration * Reduplicated character reduction ** How to learn language specific settings? -- e.g. in English certain consonants can double, bu...") |
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==Code switching== |
==Code switching== |
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| + | * For the language subpart... we can actually train and keep copies of most frequently corrected words across languages and then refer to that list... |
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| + | ** Maybe this will be too heavy for the on the run application ( needs discussion ) |
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Revision as of 12:52, 23 March 2014
General ideas
- Diacritic restoration
- Reduplicated character reduction
- How to learn language specific settings? -- e.g. in English certain consonants can double, but others cannot, same goes for vowels. Can we learn these by looking at a corpus ?
Code switching
- For the language subpart... we can actually train and keep copies of most frequently corrected words across languages and then refer to that list...
- Maybe this will be too heavy for the on the run application ( needs discussion )
