region:us
Both manual transcripts and ASR outputs from the IWSLT2011 speech translation evalutation campaign are often used for the related punctuation annotation task. This dataset takes care of preprocessing said transcripts and automatically inserts punctuation marks given in the manual transcripts in the ASR outputs using Levenshtein aligment.
@inproceedings{Ueffing2013,
    title={Improved models for automatic punctuation prediction for spoken and written text},
    author={B. Ueffing and M. Bisani and P. Vozila},
    booktitle={INTERSPEECH},
    year={2013}
}
@article{Federico2011,
    author = {M. Federico and L. Bentivogli and M. Paul and S. Stüker},
    year = {2011},
    month = {01},
    pages = {},
    title = {Overview of the IWSLT 2011 Evaluation Campaign},
    journal = {Proceedings of the International Workshop on Spoken Language Translation (IWSLT), San Francisco, CA}
}
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