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Towards Automatic Subtitling: Assessing the Quality of Old and New Resources
2020
Italian Journal of Computational Linguistics
Growing needs in localising multimedia content for global audiences have resulted in Neural Machine Translation (NMT) gradually becoming an established practice in the field of subtitling in order to reduce costs and turn-around times. Contrary to text translation, subtitling is subject to spatial and temporal constraints, which greatly increase the post-processing effort required to restore the NMT output to a proper subtitle format. In our previous work (Karakanta, Negri, and Turchi 2019), we
doi:10.4000/ijcol.649
fatcat:ozasm3svvfhk7d2hv4igk4mibu