--- title: "Bashar Alhafni — papers and cards" description: "Bashar Alhafni: 4 paper cards in the Research library (2026), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/bashar-alhafni/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bashar-alhafni/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bashar Alhafni # Bashar Alhafni 4 paper cards in the Research library · 2026 Bashar Alhafni wrote 4 of the papers Mova reads, in 2026, most of them on [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/); often with [Nizar Habash](https://md.research.elamur.ai/free/en/authors/nizar-habash/), [Go Inoue](https://md.research.elamur.ai/free/en/authors/go-inoue/), Junhong Liang. [OpenAlex](https://openalex.org/A5090727579) · [**h-index 7**](https://openalex.org/authors/A5090727579) · [508 citations](https://openalex.org/authors/A5090727579) · [48 works](https://openalex.org/works?filter=author.id:A5090727579) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Bashar+Alhafni) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bashar+Alhafni) · [dblp](https://dblp.org/search?q=Bashar+Alhafni) · [ACL Anthology](https://aclanthology.org/search/?q=Bashar+Alhafni) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Bashar+Alhafni) Topics: [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) 1 ## Papers 1. **[Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models](https://md.research.elamur.ai/free/en/papers/langstream-2026-adel-arabic-morphosyntactic-tagging-dependency-parsing/)** *(2026)* The authors test whether instruction-tuned large language models can produce explicit Arabic grammatical analysis: 14 morphological features per token (part of speech, aspect, mood, voice, person, gender, number, case, state, four proclitics and one enclitic), and labelled CATiB dependency trees. 2. **[Arabic Sentence Segmentation Across Genres and Punctuation Conditions](https://md.research.elamur.ai/free/en/papers/langstream-2026-elkholy-arabic-sentence-segmentation-across-genres/)** *(2026)* Arabic sentence boundaries are hard to find because punctuation is sparse, inconsistent or absent in many texts, and clauses are often joined by conjunctions such as wa- and fa-. 3. **[Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks](https://md.research.elamur.ai/free/en/papers/aclbulk-2026-inoue-do-diacritics-matter-evaluating-impact/)** *(2026)* The paper asks how Arabic diacritics (vowel marks and related signs) change tokenization and the scores of large language models. 4. **[When Similar Means Different: Evaluating LLMs on Arabic–Hebrew Cognates](https://md.research.elamur.ai/free/en/papers/langstream-2026-liang-similar-means-different-evaluating-llms/)** *(2026)* Arabic and Hebrew share many words with similar spellings. Some are true cognates with the same meaning, some are false friends with different meanings, and some are loanwords from a third language. The authors build SemCog Bench: 1,858 validated word pairs (858 true cognates, 364 false friends, 636 loanwords)… ## Co-authors (8) - [Nizar Habash](https://md.research.elamur.ai/free/en/authors/nizar-habash/) ×3 - [Go Inoue](https://md.research.elamur.ai/free/en/authors/go-inoue/) - Junhong Liang - Khalid N. Elmadani - Mohamed Adel - Mohammed Elkholy - [Noor Abo Mokh](https://md.research.elamur.ai/free/en/authors/noor-abo-mokh/) - [Timothy Baldwin](https://md.research.elamur.ai/free/en/authors/timothy-baldwin/) ## More papers in the library (4) Pages of the Research library: our summary, the ideas, references and who cites each. - [A Bilingual Bimodal Benchmark for Arabic-English NLP across Grammatical Correction, Essay Scoring, Morphological Tagging, and Speech Recognition](https://md.research.elamur.ai/free/en/papers/alhafni-2026-bilingual-bimodal-benchmark-arabic-english/) — Bashar Alhafni, Injy Hamed, Fadhl Eryani, et al. · 2026 - [Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation](https://md.research.elamur.ai/free/en/papers/alhafni-2023-advancements-arabic-grammatical-error-detection/) — Bashar Alhafni, Go Inoue, Christian Khairallah, et al. · 2023 - [The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/inoue-2021-interplay-variant-size-task-type/) — Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al. · 2021 - [CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/obeid-2020-camel-tools-open-source-python/) — Ossama Obeid, Nasser Zalmout, Salam Khalifa, et al. · 2020