# Presenting Simultaneous Translation in Limited Space

arXiv: https://arxiv.org/abs/2009.09016 · HTML: https://mlsanity.com/paper/2009.09016/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Sep 2020.

## Built on by (most cited first, 4 of 4)

- [How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?](https://mlsanity.com/paper/2412.18495/) (2024)
- [MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation](https://mlsanity.com/paper/2211.08633/) (2022)
- [Don't Discard Fixed-Window Audio Segmentation in Speech-to-Text Translation](https://mlsanity.com/paper/2210.13363/) (2022)
- [Continuous Rating as Reliable Human Evaluation of Simultaneous Speech Translation](https://mlsanity.com/paper/2203.02458/) (2022)

## Abstract (arXiv)

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.