论文标题
Masala：在印地语的语言注释中建模和分析适当的语义
MASALA: Modelling and Analysing the Semantics of Adpositions in Linguistic Annotation of Hindi
论文作者
论文摘要
我们介绍了印地语中置信和案例标记的注释语义关系的完整，公开可用的语料库。我们使用了多语言SNACS注释方案，该方案已应用于各种类型上的语言。在过去研究SNACS注释中的语言问题的工作基础上，我们使用语言模型尝试自动标记印地语中的SNAC超级款，并在过去的英语上实现竞争结果。我们希望在语义角色标签上进行上游应用，并扩展到古吉拉特语等相关语言。
We present a completed, publicly available corpus of annotated semantic relations of adpositions and case markers in Hindi. We used the multilingual SNACS annotation scheme, which has been applied to a variety of typologically diverse languages. Building on past work examining linguistic problems in SNACS annotation, we use language models to attempt automatic labelling of SNACS supersenses in Hindi and achieve results competitive with past work on English. We look towards upstream applications in semantic role labelling and extension to related languages such as Gujarati.
