Papers by Abudoukelimu Abulizi

1 papers
Error Analysis of Uyghur Name Tagging: Language-specific Techniques and Remaining Challenges (L18-1)

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Challenge: despite efforts at name tagging, there is limited understanding on the performance ceiling . despite the high-resource language, there are very few natural language processing tools available .
Approach: They propose to use a machine learning model to identify Uyghur name tagger errors . they conclude that such a model is unlikely to be effective for Uygur, or low-resource languages .
Outcome: The proposed model is unlikely to be effective for Uyghur, or low-resource languages in general, the authors argue . they show that the proposed model can be used for high-res languages with superficial features .

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