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Chinese Word Segmentation by Classification of Characters., , and . IJCLCLP, (2005)Typicality of Lexical Bundles in Different Sections of Scientific Articles., , and . SSPS, page 56-60. ACM, (2020)Rule-based Reordering Constraints for Phrase-based SMT., , and . EAMT, European Association for Machine Translation, (2011)An Assessment of Substitute Words in the Context of Academic Writing Proposed by Pre-trained and Specific Word Embedding Models., and . PACLING, volume 1215 of Communications in Computer and Information Science, page 414-427. Springer, (2019)Building a Japanese-Chinese Dictionary Using Kanji/Hanzi Conversion., , and . IJCNLP, volume 3651 of Lecture Notes in Computer Science, page 670-681. Springer, (2005)A Feature-rich Supervised Word Alignment Model for Phrase-based Statistical Machine Translation., and . Int. J. of Asian Lang. Proc., 19 (3): 109-126 (2009)Constraining a Generative Word Alignment Model with Discriminative Output., , , and . IEICE Trans. Inf. Syst., 93-D (7): 1976-1983 (2010)The NICT translation system for IWSLT 2010., , , , and . IWSLT, page 139-146. ISCA, (2010)Combining Segmenter and Chunker for Chinese Word Segmentation., , , and . SIGHAN, page 144-147. (2003)Towards automatic acquisition of linguistic features., and . NODALIDA, page 118-125. Northern European Association for Language Technology (NEALT), (2009)