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...

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Bibliographic Details
Main Authors: Maihemuti Maimaiti, Aishan Wumaier, Kahaerjiang Abiderexiti, Tuergen Yibulayin
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/8/4/157

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