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Sentence Compression For Automatic Subtitling

机译:句子压缩自动字幕

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摘要

This paper investigates sentence compression for automatic subtitle generation using supervised machine learning. We present a method for sentence compression as well as discuss generation of training data from compressed Finnish sentences, and different approaches to the problem. The method we present outperforms state-of-the-art baseline in both automatic and human evaluation. On real data, 44.9% of the sentences produced by the compression algorithm have been judged to be useable as-is or after minor edits.
机译:本文研究使用监督机器学习自动生成字幕的句子压缩。我们提出了一种句子压缩方法,并讨论了从压缩的芬兰句子生成训练数据以及解决该问题的不同方法。我们提供的方法在自动评估和人工评估方面都优于最新的基准。在真实数据上,压缩算法产生的44.9%的句子已被判断为可以原样使用或经过较小的编辑使用。

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