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Extending Feature Decay Algorithms Using Alignment Entropy.

, , and . FETLT, volume 10341 of Lecture Notes in Computer Science, page 170-182. Springer, (2016)

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A hybrid architecture for robust MT using LFG-DOP. Journal of Experimental & Theoretical Artificial Intelligence, 11 (3): 441--471 (1999)wEBMT: Developing and Validating an Example-Based Machine Translation System using the World Wide Web., and . Computational Linguistics, 29 (3): 421-458 (2003)adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds., , and . Inf., 14 (12): 638 (2023)Investigating Contextual Influence in Document-Level Translation., , , and . Inf., 13 (5): 249 (2022)adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation., , and . CoRR, (2024)Transformers for Low-Resource Languages: Is Féidir Linn!, , and . CoRR, (2024)Enhancing Access to Online Education: Quality Machine Translation of MOOC Content., , , , , , , and . LREC, European Language Resources Association (ELRA), (2016)No Padding Please: Efficient Neural Handwriting Recognition., , and . ICDAR, page 355-362. IEEE, (2019)What types of word alignment improve statistical machine translation?, , , and . Mach. Transl., 26 (4): 289-323 (2012)Lexicalized Semi-incremental Dependency Parsing., , and . RANLP, page 128-134. RANLP 2009 Organising Committee / ACL, (2009)