图 书 馆
低资源语言数据集创建、管理和分类：Setswana 和 SepediLow resource language dataset creation, curation and classification: Setswana and Sepedi |
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| 课程网址: | http://videolectures.net/rail2020_marivate_low_resource/ |
| 主讲教师: | : Vukosi Marivate |
| 开课单位: | 比勒陀利亚大学 |
| 开课时间: | 2020-03-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The recent advances in Natural Language Processing have only been a boon for well represented languages, negating research in lesser known global languages. This is in part due to the availability of curated data and research resources. One of the current challenges concerning low-resourced languages are clear guidelines on the collection, curation and preparation of datasets for different use-cases. In this work, we take on the task of creating two datasets that are focused on news headlines (i.e short text) for Setswana and Sepedi and the creation of a news topic classification task from these datasets. In this study, we document our work, propose baselines for classification, and investigate an approach on data augmentation better suited to low-resourced languages in order to improve the performance of the classifiers. |
| 关 键 词: | 自然语言处理; 数据集; 低资源语言 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-03-30：hqh |
| 最后编审: | 2022-03-30：hqh |
| 阅读次数: | 55 |