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Found 18 papers, 1 papers with code
Neural Speech Translation at AppTek
This work describes AppTek’s speech translation pipeline that includes strong state-of-the-art automatic speech recognition (ASR) and neural machine translation (NMT) components.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
The RWTH Aachen Machine Translation System for IWSLT 2016
This work describes the statistical machine translation (SMT) systems of RWTH Aachen University developed for the evaluation campaign of International Workshop on Spoken Language Translation (IWSLT) 2016.
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering
Quality Estimation (QE), the evaluation of machine translation output without the need of explicit references, has seen big improvements in the last years with the use of neural metrics.
Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition
Training and testing many possible parameters or model architectures of state-of-the-art machine translation or automatic speech recognition system is a cumbersome task.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Local System Voting Feature for Machine Translation System Combination
In this paper, we enhance the traditional confusion network system combination approach with an additional model trained by a neural network.
Guided Alignment Training for Topic-Aware Neural Machine Translation
In this paper, we propose an effective way for biasing the attention mechanism of a sequence-to-sequence neural machine translation (NMT) model towards the well-studied statistical word alignment models.
