Cem Mil Podcasts：面向多模态、多语言多方言信息获取研究的葡萄牙语口语文档语料库
Cem Mil Podcasts: A Spoken Portuguese Document Corpus For Multi-modal, Multi-lingual and Multi-Dialect Information Access Research
AI总结：
本研究发布了葡萄牙语播客数据集Cem Mil Podcasts，介绍其采样、统计及方言分布情况，验证了多语言摘要和文本元数据分类的有效性，为多模态多语言多方言播客信息获取研究提供支持。
摘要：
本文介绍了我们为学术研究发布的葡萄牙语播客数据集。我们概述了数据的采样方式、语料库的描述性统计数据，以及巴西葡萄牙语和欧洲葡萄牙语两种方言的分布信息。我们给出了多语言摘要实验的结果，表明支持英语和葡萄牙语的系统可以很好地完成播客文本的摘要任务。我们还展示了利用文本元数据进行葡萄牙语播客类型分类的实验。该语料库与此前发布的英语语料库相结合，为多模态、多语言、多方言的播客信息获取研究提供了可能。
英文摘要：
In this paper we describe the Portuguese-language podcast dataset we have released for academic research purposes. We give an overview of how the data was sampled, descriptive statistics over the collection, as well as information about the distribution over Brazilian and Portuguese dialects. We give results from experiments on multi-lingual summarization, showing that summarizing podcast transcripts can be performed well by a system supporting both English and Portuguese. We also show experiments on Portuguese podcast genre classification using text metadata. Combining this collection with previously released English-language collection opens up the potential for multi-modal, multi-lingual and multi-dialect podcast information access research.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
