A systematic comparison of various statistical alignment models
Computational Linguistics
A program for aligning sentences in bilingual corpora
Computational Linguistics - Special issue on using large corpora: I
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Bitext maps and alignment via pattern recognition
Computational Linguistics
A statistical approach to language translation
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
HMM-based word alignment in statistical translation
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
MTTK: an alignment toolkit for statistical machine translation
NAACL-Demonstrations '06 Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume: demonstrations
Learning Machine Translation
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
Parallel implementations of word alignment tool
SETQA-NLP '08 Software Engineering, Testing, and Quality Assurance for Natural Language Processing
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
Hi-index | 0.00 |
This position paper presents the recently started European collaboration project LetsMT!. This project creates a platform that gathers public and user-provided MT training data and generates multiple MT systems by combining and prioritizing this data. The project extends the use of existing state-of-the-art SMT methods that are applied to data supplied by users to increase quality, scope and language coverage of machine translation. The paper describes the background and motivation for this work, key approaches, and the technologies used.