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Chinese word segmentation and statistical machine translation.

, , and . ACM Trans. Speech Lang. Process., 5 (2): 4:1-4:19 (2008)

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Building a Location Dependent Dictionary for Speech Translation Systems., , , , , and . CICLing (2), volume 10762 of Lecture Notes in Computer Science, page 482-491. Springer, (2017)Multilingual Speech Emotion Recognition on Japanese, English, and German., , and . CICLing (2), volume 13452 of Lecture Notes in Computer Science, page 362-375. Springer, (2019)Annotating data selection for improving machine translation., , , and . IWSLT, page 269-274. ISCA, (2011)Transformer-based Automatic Speech Recognition of Simultaneous Interpretation with Auxiliary Input of Source Language Text., , , and . APSIPA ASC, page 1857-1861. IEEE, (2023)Building a DNA Methylation Aging Clock Model on Less Labelled Data Using Item Response Theory., , , and . BIOINFORMATICS, page 139-145. SCITEPRESS, (2023)Mining Parallel Texts from Mixed-Language Web Pages., , , and . MTSummit, (2009)System Description of NiCT-ATR SMT for NTCIR-7., , , , , and . NTCIR, National Institute of Informatics (NII), (2008)Comparative Study on Spoken Language Identification Based on Deep Learning., , , , and . EUSIPCO, page 2265-2269. IEEE, (2018)Machine Learning Approaches for Speech Emotion Recognition: Classic and Novel Advances., , , , , and . CICLing (2), volume 10762 of Lecture Notes in Computer Science, page 180-191. Springer, (2017)Automatic machine translation selection scheme to output the best result., , , , and . LREC, European Language Resources Association, (2002)