Update README.md
Browse filesAdd SPECOM papers
README.md
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Different to the original dataset, this version has also a `text_normalised` attribute, which contains the text with parliamentary comments (`[[Applause]]` and similar) removed. Also, different to the other ParlaSpeech corpora on HuggingFace, this dataset has two additional text columns, `text_cyrillic` and `text_cyrillic_normalised`, with Cyrillic transliteration of the corresponding columns, for simpler downstream usage, given that Serbian is a digraphic language.
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If you use the dataset, please cite the following
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```
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@inproceedings{ljubesic-etal-2022-parlaspeech,
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url = "https://aclanthology.org/2022.parlaclarin-1.16",
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pages = "111--116",
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}
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```
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Different to the original dataset, this version has also a `text_normalised` attribute, which contains the text with parliamentary comments (`[[Applause]]` and similar) removed. Also, different to the other ParlaSpeech corpora on HuggingFace, this dataset has two additional text columns, `text_cyrillic` and `text_cyrillic_normalised`, with Cyrillic transliteration of the corresponding columns, for simpler downstream usage, given that Serbian is a digraphic language.
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If you use the dataset, please cite the following papers:
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```
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@inproceedings{ljubesic-etal-2022-parlaspeech,
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url = "https://aclanthology.org/2022.parlaclarin-1.16",
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pages = "111--116",
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}
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@inproceedings{ljubesic2024parlaspeech,
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title={The ParlaSpeech Collection of Automatically Generated Speech and Text Datasets from Parliamentary Proceedings},
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author={Ljube{\v{s}}i{\'c}, Nikola and Rupnik, Peter and Kor{\v{z}}inek, Danijel},
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booktitle={International Conference on Speech and Computer},
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pages={137--150},
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organization={Springer},
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month = jun,
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year = "2022",
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address = "Belgrade, Serbia",
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}
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```
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