9 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Towards Generating Automatic Anaphora Annotations
Dima Taji, Daniel Zeman
Training models that can perform well on various NLP tasks require large amounts of data, and this becomes more apparent with nuanced tasks such as anaphora and conference resoluti…
cs.CL2019★ 9 cited
An Arabic Dependency Treebank in the Travel Domain
Dima Taji, Jamila El Gizuli, Nizar Habash
In this paper we present a dependency treebank of travel domain sentences in Modern Standard Arabic. The text comes from a translation of the English equivalent sentences in the Ba…
cs.CL2017★ 6 cited
Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic
Alexander Erdmann, Nizar Habash, Dima Taji +1
We present the second ever evaluated Arabic dialect-to-dialect machine translation effort, and the first to leverage external resources beyond a small parallel corpus. The subject…