Dataset Groups Activity Stream XNMT: The eXtensible Neural Machine Translation Toolkit XNMT is a neural machine translation toolkit that focuses on modular code design, making it easy to swap in and out different parts of the model. BibTex: @dataset{Graham_Neubig_and_Matthias_Sperber_and_Xinyi_Wang_and_Matthieu_Felix_and_Austin_Matthews_and_Sarguna_Padmanabhan_and_Ye_Qi_and_Devendra_Singh_Sachan_and_Philip_Arthur_and_Pierre_Godard_and_John_Hewitt_and_Rachid_Riad_and_Liming_Wang_2024, abstract = {XNMT is a neural machine translation toolkit that focuses on modular code design, making it easy to swap in and out different parts of the model.}, author = {Graham Neubig and Matthias Sperber and Xinyi Wang and Matthieu Felix and Austin Matthews and Sarguna Padmanabhan and Ye Qi and Devendra Singh Sachan and Philip Arthur and Pierre Godard and John Hewitt and Rachid Riad and Liming Wang}, doi = {10.57702/mau3y5uc}, institution = {No Organization}, keyword = {'Attention Mechanism', 'Modular Code Design', 'Neural Machine Translation'}, month = {dec}, publisher = {TIB}, title = {XNMT: The eXtensible Neural Machine Translation Toolkit}, url = {https://service.tib.eu/ldmservice/dataset/xnmt--the-extensible-neural-machine-translation-toolkit}, year = {2024} }