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Found 7 papers, 1 papers with code
MTLens: Machine Translation Output Debugging
The performance of Machine Translation (MT) systems varies significantly with inputs of diverging features such as topics, genres, and surface properties.
Efficient Machine Translation Corpus Generation
In this paper, the effect of prioritizing with the proposed method on the resulting MT corpus quality is presented versus scheduling hypotheses randomly.
EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only
The online learning capability of this system allows for dynamic adaptation to alterations in the domain or machine translation engines, thereby obviating the necessity for additional training.
From Speech-to-Speech Translation to Automatic Dubbing
We present enhancements to a speech-to-speech translation pipeline in order to perform automatic dubbing.
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