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OCTO+: Optimized Checkpointing of B+ Trees for Non-Volatile Main Memory Wear-Leveling., , , , and . NVMSA, page 1-6. IEEE, (2021)The Application of Semantic Classification Trees to Natural Language Understanding., and . IEEE Trans. Pattern Anal. Mach. Intell., 17 (5): 449-460 (1995)Bilingual Methods for Adaptive Training Data Selection for Machine Translation., , , , and . AMTA (1), page 93-106. The Association for Machine Translation in the Americas, (2016)Behaviorally Typed State Machines in TypeScript for Heterogeneous Swarms., and . ISSTA, page 1475-1478. ACM, (2023)French speech recognition in an automatic dictation system for translators: the transtalk project., , , , , , and . EUROSPEECH, page 193-196. ISCA, (1995)Speech recongnition and the frequency of recently used words: a modified Markov model for natural language.. COLING, page 348-350. John von Neumann Society for Computing Sciences, Budapest, (1988)Automatic methods for lexical stress assignment and syllabification., , , and . INTERSPEECH, page 423-426. ISCA, (2000)AMBER: A Modified BLEU, Enhanced Ranking Metric., and . WMT@EMNLP, page 71-77. Association for Computational Linguistics, (2011)PORTAGE: with Smoothed Phrase Tables and Segment Choice Models., , , , , , and . WMT@HLT-NAACL, page 134-137. Association for Computational Linguistics, (2006)Vector Space Model for Adaptation in Statistical Machine Translation., , and . ACL (1), page 1285-1293. The Association for Computer Linguistics, (2013)