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What Matters Most in Morphologically Segmented SMT Models?, , and . SSST@NAACL-HLT, page 65-73. Association for Computational Linguistics, (2015)Unified Guidelines and Resources for Arabic Dialect Orthography., , , , , , , , , and 7 other author(s). LREC, European Language Resources Association (ELRA), (2018)Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles., , and . CoRR, (2024)Cognate and Misspelling Features for Natural Language Identification., , , , and . BEA@NAACL-HLT, page 140-145. The Association for Computer Linguistics, (2013)978-1-937284-47-3.Multiple System Combination for Transliteration., , , , , , and . NEWS@ACL, page 72-77. Association for Computational Linguistics, (2015)Transliteration Experiments on Chinese and Arabic., , and . NEWS@ACL, page 71-75. Association for Computational Linguistics, (2012)A General-Purpose Transferable Predictor for Neural Architecture Search., , , , , , , , and . SDM, page 721-729. SIAM, (2023)L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning., , , , , , , , and . CIKM, page 1284-1293. ACM, (2021)ADIDA: Automatic Dialect Identification for Arabic., , , and . NAACL-HLT (Demonstrations), page 6-11. Association for Computational Linguistics, (2019)Explaining Autonomous Driving Actions with Visual Question Answering., , , and . ITSC, page 1207-1214. IEEE, (2023)