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Findings of the Shared Task on Offensive Language Identification in Tamil, Malayalam, and Kannada

机译:泰米尔,马拉雅拉姆和坎卡达的进攻语言识别共同任务的调查结果

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Detecting offensive language in social media in local languages is critical for moderating user-generated content. Thus, the field of offensive language identification for under-resourced languages like Tamil, Malayalam and Kannada is of essential importance. As user-generated content is often code-mixed and not well studied for under-resourced languages, it is imperative to create resources and conduct benchmark studies to encourage research in under-resourced Dravidian languages. We created a shared task on offensive language detection in Dravidian languages.
机译:以当地语言检测社交媒体中的冒险语言对于培养用户生成的内容至关重要。 因此,像泰米尔,马拉雅拉姆和坎卡达等资源不足语语言的攻击性语言识别领域都是至关重要的。 随着用户生成的内容通常是Code-Mixed并且不适合资源不足的语言,因此必须创造资源并进行基准研究,以鼓励资源欠资源的Dravidian语言。 我们在Dravidian语言中创建了一项关于攻击语言检测的共享任务。

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