LetsMT!: a cloud-based platform for do-it-yourself machine translation

Authors:
Andrejs Vasiļjevs;Raivis Skadiņš;Jörg Tiedemann
Affiliations:
TILDE, Riga, Latvia;TILDE, Riga, Latvia;Uppsala University, Uppsala, Sweden
Venue:
ACL '12 Proceedings of the ACL 2012 System Demonstrations
Year:
2012

Citing 4
Cited 1

A program for aligning sentences in bilingual corpora

Computational Linguistics - Special issue on using large corpora: I
Moses: open source toolkit for statistical machine translation

ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Stream-based randomised language models for SMT

EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Stream-based translation models for statistical machine translation

HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

Domain adaptation in statistical machine translation using comparable corpora: case study for english latvian IT localisation

CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

To facilitate the creation and usage of custom SMT systems we have created a cloud-based platform for do-it-yourself MT. The platform is developed in the EU collaboration project LetsMT!. This system demonstration paper presents the motivation in developing the LetsMT! platform, its main features, architecture, and an evaluation in a practical use case.