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Presenting Simultaneous Translation in Limited Space

Publication at Faculty of Mathematics and Physics |
2020

Abstract

Some methods of automatic simultaneous translation of a long-form speech allow revisions of outputs, trading accuracy for low latency. Deploying these systems for users faces the problem of presenting subtitles in a limited space, such as two lines on a television screen.

The subtitles must be shown promptly, incrementally, and with adequate time for reading. We provide an algorithm for subtitling.

Furthermore, we propose a way how to estimate the overall usability of the combination of automatic translation and subtitling by measuring the quality, latency, and stability on a test set, and propose an improved measure for translation latency.