Neural Monkey: The Current State and Beyond

Jindřich Helcl, Jindřich Libovický, Tom Kocmi, Tomáš Musil, Ondřej Cifka, Dušan Variš, Ondřej Bojar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Neural Monkey is an open-source toolkit for sequence-to-sequence learning. The focus of this paper is to present the current state of the toolkit to the intended audience, which includes students and researchers, both active in the deep learning community and newcomers. For each of these target groups, we describe the most relevant features of the toolkit, including the simple configuration scheme, methods of model inspection that promote useful intuitions, or a modular design for easy prototyping. We summarize relevant contributions to the research community which were made using this toolkit and discuss the characteristics of our toolkit with respect to other existing systems. We conclude with a set of proposals for future development.
Original languageEnglish
Title of host publicationProceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Place of PublicationBoston, MA
PublisherAssociation for Machine Translation in the Americas, AMTA
Pages168-176
Number of pages9
Publication statusPublished - 17 Mar 2018
Event13th Conference of the Association for Machine Translation in the Americas - Boston, United States
Duration: 17 Mar 201821 Mar 2018
https://amtaweb.org/

Conference

Conference13th Conference of the Association for Machine Translation in the Americas
Abbreviated titleAMTA 2018
CountryUnited States
CityBoston
Period17/03/1821/03/18
Internet address

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