Did you know it’s pretty easy to programmatically access ACL Anthology data? For example, here’s a snippet you could use to get the BibTeX entries for all of your papers.
The downside is that the initial fetching of the data takes quite long atm, but it can still be useful for automation!
![Your dataset looks very cool, but I don't understand why you say “no Arabizi-specific metric or resource exists for our dialect selection”? When you contacted me, it seemed to me that you were aware of my work on Arabizi (e.g., [1,2], not to mention the cross-lingual work with Maltese [2] or character-based language models for Arabizi [4]). One of the crucial points of this work was also to propose translations into French from Algerian Arabizi, which could have helped you use a ground truth for your translation models. I'll be honest with you, I find it extremely discouraging to see that pioneering work in the processing of a language with such limited resources as Algerian Arabic dialect is not cited, even though it has been published in the major conference in the field and the data is freely available (unlike the vast majority of dialectal resources for Arabic). If even colleagues working on the same language don't find it necessary to cite us, what's the point of investing so much time and money in this type of work?
In short, I hope your work doesn't encounter the same pitfalls.
[1] https://www.aclweb.org/anthology/2020.acl-main.107.pdf
[2] https://arxiv.org/abs/2306.14866
[3] https://arxiv.org/abs/2005.00318
[4] https://arxiv.org/abs/2110.13658
(deepL translated, from French)](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:jjfethf2y735ux2mhcy46crq/bafkreihshvjyywsjh67r4huabhseu4rlohoamiynhgbgdt2opejhzrdnuq)
