3 citations · 4 across the 6 of their papers we have counts for
6 papers · 1 filter
ARWI: Arabic Write and Improve
Kirill Chirkunov, Bashar Alhafni, Chatrine Qwaider +2
Although Arabic is spoken by over 400 million people, advanced Arabic writing assistance tools remain limited. To address this gap, we present ARWI, a new writing assistant that he…
Strategies for Arabic Readability Modeling
Juan Piñeros Liberato, Bashar Alhafni, Muhamed Al Khalil +1
Automatic readability assessment is relevant to building NLP applications for education, content analysis, and accessibility. However, Arabic readability assessment is a challengin…
The SAMER Arabic Text Simplification Corpus
Bashar Alhafni, Reem Hazim, Juan Piñeros Liberato +2
We present the SAMER Corpus, the first manually annotated Arabic parallel corpus for text simplification targeting school-aged learners. Our corpus comprises texts of 159K words se…
Personalized Text Generation with Fine-Grained Linguistic Control
Bashar Alhafni, Vivek Kulkarni, Dhruv Kumar +1
As the text generation capabilities of large language models become increasingly prominent, recent studies have focused on controlling particular aspects of the generated text to m…
mEdIT: Multilingual Text Editing via Instruction Tuning
Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni +2
We introduce mEdIT, a multi-lingual extension to CoEdIT -- the recent state-of-the-art text editing models for writing assistance. mEdIT models are trained by fine-tuning multi-lin…
Zero-shot Cross-Linguistic Learning of Event Semantics
Malihe Alikhani, Thomas Kober, Bashar Alhafni +6
Typologically diverse languages offer systems of lexical and grammatical aspect that allow speakers to focus on facets of event structure in ways that comport with the specific com…