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Exploiting Bishun to Predict the Pronunciation of Chinese.

, , , , , and . Computación y Sistemas, 20 (3): 541-549 (2016)

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Language relatedness evaluation for multilingual neural machine translation., and . Neurocomputing, (February 2024)Log-linear Models for Uyghur Segmentation in Spoken Language Translation., , , , , , and . RANLP, page 492-500. INCOMA Ltd., (2017)Inducing Bilingual Word Representations for Non-isomorphic Spaces by an Unsupervised Way., , and . KSEM, volume 12815 of Lecture Notes in Computer Science, page 458-466. Springer, (2021)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)Harvest Uyghur-Chinese Aligned-Sentences Bitexts from Multilingual Sites Based on Word Embedding., , , , and . CCL, volume 10565 of Lecture Notes in Computer Science, page 449-460. Springer, (2017)Recurrent Neural Network Based Loanwords Identification in Uyghur., , , , , and . PACLIC, ACL, (2016)Domain adaption based on lda and word embedding in SMT., , , , , , and . IALP, page 123-126. IEEE, (2017)Improving the Robustness of Loanword Identification in Social Media Texts.. ACM Trans. Asian Low Resour. Lang. Inf. Process., 22 (4): 101:1-101:19 (April 2023)Loanword Identification in Low-Resource Languages with Minimal Supervision., , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 19 (3): 43:1-43:22 (2020)Improving data augmentation for low resource speech-to-text translation with diverse paraphrasing., , and . Neural Networks, (2022)