[2112.15272] ViNMT: Neural Machine Translation Toolkit - ArXiv

Computer Science > Computation and Language arXiv:2112.15272 (cs) [Submitted on 31 Dec 2021 (v1), last revised 8 Mar 2022 (this version, v5)] Title:ViNMT: Neural Machine Translation Toolkit Authors:Nguyen Hoang Quan, Nguyen Thanh Dat, Nguyen Hoang Minh Cong, Nguyen Van Vinh, Ngo Thi Vinh, Nguyen Phuong Thai, Tran Hong Viet View a PDF of the paper titled ViNMT: Neural Machine Translation Toolkit, by Nguyen Hoang Quan and 6 other authors View PDF

Abstract:We present an open-source toolkit for neural machine translation (NMT). The new toolkit is mainly based on vaulted Transformer (Vaswani et al., 2017) along with many other improvements detailed below, in order to create a self-contained, simple to use, consistent and comprehensive framework for Machine Translation tasks of various domains. It is tooled to support both bilingual and multilingual translation tasks, starting from building the model from respective corpora, to inferring new predictions or packaging the model to serving-capable JIT format.

Subjects:	Computation and Language (cs.CL); Machine Learning (cs.LG)
Cite as:	arXiv:2112.15272 [cs.CL]
(or arXiv:2112.15272v5 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2112.15272 Focus to learn more arXiv-issued DOI via DataCite

Submission history

From: Vinh Nguyen Van [view email] [v1] Fri, 31 Dec 2021 02:42:39 UTC (5,234 KB) [v2] Sat, 8 Jan 2022 05:29:58 UTC (5,234 KB) [v3] Fri, 4 Mar 2022 09:28:57 UTC (5,234 KB) [v4] Mon, 7 Mar 2022 07:19:12 UTC (5,234 KB) [v5] Tue, 8 Mar 2022 07:57:44 UTC (5,234 KB) Full-text links:

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