Bidirectional Long Short-Term Memory Network with a Conditional Random Field Layer for Uyghur Part-Of-Speech Tagging
Uyghur is an agglutinative and a morphologically rich language; natural language processing tasks in Uyghur can be a challenge. Word morphology is important in Uyghur part-of-speech (POS) tagging. However, POS tagging performance suffers from error propagation of morphological analyzers. To address...
Main Authors: | Maihemuti Maimaiti, Aishan Wumaier, Kahaerjiang Abiderexiti, Tuergen Yibulayin |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-11-01
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Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/8/4/157 |
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