This article presents the application of stemming, one of the most important aspects of NLP-Natural Language Processing, of the Uzbek verbs. The methodology is proposed for doing the stemming of the Uzbek verb words with a affix stripping approach whereas not including any lexicon. Verb affixes are classified into three classes and designed the finite state machines (FSMs) for each class according morphological rules. A stemming application for Uzbek verb words has been developed based the FSMs.
| Mualliflar | Maksud Sharipov, Ulugbek Salaev, Gayrat Matlatipov |
|---|---|
| Jurnal | Ўзбекистон: тил ва маданият |
| Nashr sanasi | 2021-01-01 |
| Jild | 1 |
| Son | 1 |
| Betlar | 56-62 |
| Til | uz |
| DOI | 10.52773/cl:psp/vol_1_issue_1/a12 |
DOI: 10.52773/cl:psp/vol_1_issue_1/a12 · Maqolaning asl sahifasi · PDF
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