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Utilization of Multi-word Expressions to Improve Statistical Machine Translation of Statutory Sentences., , , , and . JSAI-isAI Workshops, volume 10091 of Lecture Notes in Computer Science, page 249-264. (2015)Japanese Legal Term Correction Using Random Forests., , , and . JURIX, volume 313 of Frontiers in Artificial Intelligence and Applications, page 161-170. IOS Press, (2018)Analyzing Japanese Law History through Modeling Multi-versioned Entity., , , and . BlockSW/CKG@ISWC, volume 2599 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Differential-Aware Transformer for Partially Amended Sentence Translation., , and . JSAI-isAI Workshops, volume 13859 of Lecture Notes in Computer Science, page 5-22. Springer, (2022)MUEnsemble: Multi-ratio Undersampling-Based Ensemble Framework for Imbalanced Data., , , and . DEXA (2), volume 12392 of Lecture Notes in Computer Science, page 213-228. Springer, (2020)An Experiment on Japanese-Uighur Machine Translation and Its Evaluation., , , , and . AMTA, volume 3265 of Lecture Notes in Computer Science, page 208-216. Springer, (2004)Improvement of Translation Accuracy for the Outlines of Japanese Statutes by Splitting Parenthesized Expressions., , , , and . KSE, page 67-72. IEEE, (2015)Search method for ordinances and rules in Japanese local governments based on distributed representation., , , , and . KSE, page 185-190. IEEE, (2017)Exploring Relevant Parts Between Legal Documents Using Substructure Matching., , , and . JSAI-isAI Workshops, volume 12331 of Lecture Notes in Computer Science, page 5-19. Springer, (2019)Automatic Consolidation of Japanese Statutes Based on Formalization of Amendment Sentences., , and . JSAI, volume 4914 of Lecture Notes in Computer Science, page 363-376. Springer, (2007)