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Zaokere Kadeer on Muck Rack

Zaokere Kadeer

As seen in: MDPI
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Articles

Part-of-Speech Tags Guide Low-Resource Machine Translation

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By Zaokere Kadeer, Aishan Wumaier, Nian Yi
| MDPI
Abstract : Neural machine translation models are guided by loss function to select source sentence features and generate results close to human annotation. When the data resources are abundant, neural machine translation models can focus on the features used to produce high-quality translations. These features include POS or other grammatical features. However, models cannot focus precisely on these features when data resources are limited.
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SSEMGAT: Syntactic and Semantic Enhanced Multi-Layer Graph Attention Network for Aspect-Level Sentiment Analysis

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By Aishan Wumaier, Jiangtao He, Xiangzhe Xin, Zaokere Kadeer
| MDPI
Abstract : Aspect-level sentiment analysis aims to identify the sentiment polarity of specific aspects appearing in a given sentence or review. The model based on graph structure uses a dependency tree to link the aspect word with its corresponding opinion word and achieves significant results.
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