This paper presents Nabra, a corpora of Syrian Arabic dialects with
morphological annotations. A team of Syrian natives collected more than 6K
sentences containing about 60K words from several sources including social
media posts, scripts of movies and series, lyrics of songs and local proverbs
to build Nabra. Nabra covers several local Syrian dialects including those of
Aleppo, Damascus, Deir-ezzur, Hama, Homs, Huran, Latakia, Mardin, Raqqah, and
Suwayda. A team of nine annotators annotated the 60K tokens with full
morphological annotations across sentence contexts. We trained the annotators
to follow methodological annotation guidelines to ensure unique morpheme
annotations, and normalized the annotations. F1 and kappa agreement scores
ranged between 74% and 98% across features, showing the excellent quality of
Nabra annotations. Our corpora are open-source and publicly available as part
of the Currasat portal this https URL

该论文介绍了 Nabra，一个带有形态学注释的叙利亚阿拉伯方言语料库。叙利亚本土人收集了超过 6,000 个句子，包含大约 60,000 个单词，来自社交媒体帖子、电影和电视剧的剧本、歌曲歌词和当地谚语，用于构建 Nabra。Nabra 涵盖了包括阿勒颇、大马士革、代尔祖尔、哈马、霍姆斯、胡兰、拉塔基亚、马尔丁、拉卡和苏韦达在内的多种叙利亚当地方言。九名注释员在句子上下文中对这 60,000 个标记进行了全面的形态学注释。我们培训注释员遵循方法论注释指南，确保了唯一的语素注释，并对注释进行了规范化处理。F1 和 kappa 一致性得分在不同特征间的范围为 74％到 98％，显示了 Nabra 注释的出色质量。我们的语料库是开源的，并作为 Currasat 门户的一部分公开可用，此链接：[https://a_valid_link].

纳布拉：叙利亚阿拉伯方言及其形态学注释

Nabra: Syrian Arabic Dialects with Morphological Annotations

The processing of the Arabic language is a complex field of research. This is
due to many factors, including the complex and rich morphology of Arabic, its
high degree of ambiguity, and the presence of several regional varieties that
need to be processed while taking into account their unique characteristics.
When its dialects are taken into account, this language pushes the limits of
NLP to find solutions to problems posed by its inherent nature. It is a
diglossic language; the standard language is used in formal settings and in
education and is quite different from the vernacular languages spoken in the
different regions and influenced by older languages that were historically
spoken in those regions. This should encourage NLP specialists to create
dialect-specific corpora such as the Palestinian morphologically annotated
Curras corpus of Birzeit University. In this work, we present the Lebanese
Corpus Baladi that consists of around 9.6K morphologically annotated tokens.
Since Lebanese and Palestinian dialects are part of the same Levantine
dialectal continuum, and thus highly mutually intelligible, our proposed corpus
was constructed to be used to (1) enrich Curras and transform it into a more
general Levantine corpus and (2) improve Curras by solving detected errors.

本研究提出黎巴嫩 Corpus Baladi 作为阿拉伯语方言特定语料库的一部分，该语料库包含近 9.6K 个语素注释令牌，并旨在旨在丰富 Palestinian morphologically annotated Curras corpus，改进其解决检测到的错误。