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VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks.

, , , and . RTIP2R (2), volume 2027 of Communications in Computer and Information Science, page 209-222. Springer, (2023)

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Modern MT: a new open-source machine translation platform for the translation industry., , , , , , , , , and 10 other author(s). EAMT (Projects/Products), Baltic Journal of Modern Computing, (2016)Evaluating Robustness to Input Perturbations for Neural Machine Translation., , , and . ACL, page 8538-8544. Association for Computational Linguistics, (2020)End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation., , , , , , , and . EMNLP, page 7255-7274. Association for Computational Linguistics, (2023)Distilling Multiple Domains for Neural Machine Translation., , and . EMNLP (1), page 4500-4511. Association for Computational Linguistics, (2020)VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks., , , and . RTIP2R (2), volume 2027 of Communications in Computer and Information Science, page 209-222. Springer, (2023)Topic adaptation for machine translation of e-commerce content., , , , and . MTSummit, (2015)ISOMETRIC MT: Neural Machine Translation for Automatic Dubbing., , , and . ICASSP, page 6242-6246. IEEE, (2022)Optimized MT online learning in computer assisted translation., and . AMTA (IAMT), page 32-41. Association for Machine Translation in the Americas, (2014)Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric., , , and . WMT, page 118-128. Association for Computational Linguistics, (2022)Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions., , , , and . EACL (Findings), page 289-295. Association for Computational Linguistics, (2023)