Enhanced text stemmer with noisy text normalization for Malay texts
In general, the current text stemmers for Malay texts were not developed for text stemming against social media texts. Therefore, there is a need to develop an enhanced text stemmer that is able to map morphological variants based on the characteristics of non-standard derived word patterns on socia...
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| Main Authors: | , , , , |
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| Format: | Book Section |
| Published: |
Springer, Singapore
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/93031/ http://dx.doi.org/10.1007%2F978-981-15-0077-0_44 |
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