EU-BRIDGE’s open source
Important technology developments over the course of the project are available as open source toolkits.
The RWTH open source neural network toolkit for speech recognition
Intensified use of neural networks in the models of speech translation systems, are available here as open source toolkit. Experimental evaluation confirmed the competitive recognition accuracy, while requiring far less computational time than other tools. It supports CPU multi-threading and general purpose computing on GPUs.
Free usage including redistribution and modification for non-commercial use under http://www.hltpr.rwth-aachen.de/rasr
Jane - The RWTH Aachen University Statistical Machine Translation Toolkit
Jane is RWTH's open source statistical machine translation toolkit. Jane supports state-of-the-art techniques for phrase-based and hierarchical phrase-based machine translation. Many advanced features are implemented in the toolkit, as for instance forced alignment phrase training for the phrase-based model and several syntactic extensions for the hierarchical model. https://www-i6.informatik.rwth-aachen.de/jane
Kaldi open source toolkit
Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers. http://kaldi.sourceforge.net
Moses statistical machine translation system
Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair. All you need is a collection of translated texts (parallel corpus). Once you have a trained model, an efficient search algorithm quickly finds the highest probability translation among the exponential number of choices. http://www.statmt.org/moses/ and the github directory: https://github.com/moses-smt/mosesdecoder .