In this paper we address the scarcity of annotated data for NArabizi, a
Romanized form of North African Arabic used mostly on social media, which poses
challenges for Natural Language Processing (NLP). We introduce an enriched
version of NArabizi Treebank (Seddah et al., 2020) with three main
contributions: the addition of two novel annotation layers (named entity
recognition and offensive language detection) and a re-annotation of the
tokenization, morpho-syntactic and syntactic layers that ensure annotation
consistency. Our experimental results, using different tokenization schemes,
showcase the value of our contributions and highlight the impact of working
with non-gold tokenization for NER and dependency parsing. To facilitate future
research, we make these annotations publicly available. Our enhanced NArabizi
Treebank paves the way for creating sophisticated language models and NLP tools
for this under-represented language.

本研究针对 NArabizi 语言数据的人工标注数据不足的问题，通过引入两个新的注释层和再次标注的方式，增强了 NArabizi Treebank，从而为该语言的高级语言模型和自然语言处理工具的开发提供了基础。