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Co-occurrence Degree Based Word Alignment: A Case Study on Uyghur-Chinese.

, , , , and . CCL, volume 8801 of Lecture Notes in Computer Science, page 259-268. Springer, (2014)

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Co-occurrence Degree Based Word Alignment: A Case Study on Uyghur-Chinese., , , , and . CCL, volume 8801 of Lecture Notes in Computer Science, page 259-268. Springer, (2014)A Semisupervised Tag-Transition-Based Markovian Model for Uyghur Morphology Analysis., , , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 16 (2): 8:1-8:23 (2016)Optimized Uyghur Segmentation for Statistical Machine Translation., , , , , , , and . NLDB, volume 9103 of Lecture Notes in Computer Science, page 395-398. Springer, (2015)Constructing Uyghur Named Entity Recognition System Using Neural Machine Translation Tag Projection., , , , and . CNCL, volume 12522 of Lecture Notes in Computer Science, page 247-260. Springer, (2020)Speech Recognition Research on Uyghur Accent Spoken Language., , , and . IALP, page 163-166. IEEE, (2013)Using Semantic Knowledge in the Uyghur-Chinese Person Name Transliteration., , , , , and . J. Inf. Process. Syst., 13 (4): 716-730 (2017)