May 20, 2022, 1:11 a.m. | Alina Karakanta, François Buet, Mauro Cettolo, François Yvon

cs.CL updates on arXiv.org arxiv.org

Subtitles appear on screen as short pieces of text, segmented based on formal
constraints (length) and syntactic/semantic criteria. Subtitle segmentation can
be evaluated with sequence segmentation metrics against a human reference.
However, standard segmentation metrics cannot be applied when systems generate
outputs different than the reference, e.g. with end-to-end subtitling systems.
In this paper, we study ways to conduct reference-based evaluations of
segmentation accuracy irrespective of the textual content. We first conduct a
systematic analysis of existing metrics for evaluating …

arxiv generation segmentation systems

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Principal Machine Learning Engineer (AI, NLP, LLM, Generative AI)

@ Palo Alto Networks | Santa Clara, CA, United States

Consultant Senior Data Engineer F/H

@ Devoteam | Nantes, France