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When and Why is Document-level Context Useful in Neural Machine Translation?

, , and . DiscoMT@EMNLP, page 24-34. Association for Computational Linguistics, (2019)

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Konturbestimmung in Bildern mit dynamischer Programmierung.. DAGM-Symposium, volume 49 of Informatik-Fachberichte, page 319-326. Springer, (1981)Maschinelle Sprachverarbeitung: Der statistische Ansatz in der Spracherkennung und Sprach\"bersetzung. Informatik Spektrum, 26 (2): 94-102 (May 2003)Edit distances with block movements and error rate confidence estimates., and . Mach. Transl., 23 (2-3): 129-140 (2009)Towards a Better Understanding of Label Smoothing in Neural Machine Translation., , , , and . AACL/IJCNLP, page 212-223. Association for Computational Linguistics, (2020)End-To-End Training of a Neural HMM with Label and Transition Probabilities., , , , and . ASRU, page 1-8. IEEE, (2023)Alignment-Based Neural Machine Translation., , , , , and . WMT, page 54-65. The Association for Computer Linguistics, (2016)Connected digit recognition using statistical template matching., , , and . EUROSPEECH, page 1483-1486. ISCA, (1995)Estimating 'small' probabilities by leaving-one-out., and . EUROSPEECH, page 2239-2242. ISCA, (1993)The statistical approach to machine translation and a roadmap for speech translation.. INTERSPEECH, page 361-364. ISCA, (2003)Evaluation of quantile based histogram equalization with filter combination on the Aurora 3 and 4 databases., and . INTERSPEECH, page 341-344. ISCA, (2003)