Houda Bouamor · page 2
Papers
- The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses (2022 · 21 citations)
NLP systems such as machine translation usually produce a single output with no knowledge of who is speaking or who is being addressed. - QAES: First Publicly-Available Trait-Specific Annotations for Automated Scoring of Arabic Essays (2024 · 19 citations)
Arabic automated essay scoring (AES) has lagged behind English mainly because no openly shared Arabic essays carry quality scores, and almost none carry scores per writing trait. - Hierarchical Aggregation of Dialectal Data for Arabic Dialect Identification (2022 · 17 citations)
Arabic dialect identification (DID) resources have grown quickly, but each corpus labels its texts differently. - QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction (2015 · 16 citations)
This paper describes the joint CMU-Q and QCRI entry to the QALB-2015 shared task, which asks systems to fix errors in Modern Standard Arabic text. - UMMU@QALB-2015 Shared Task: Character and Word level SMT pipeline for Automatic Error Correction of Arabic Text (2015 · 16 citations)
The paper addresses automatic correction of spelling and editing errors in Arabic text for the QALB-2015 shared task. - Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic (2017 · 14 citations)
The paper addresses machine translation between Arabic dialects, specifically Egyptian to Levantine. This direction has almost no naturally written parallel text and had been evaluated only once before. The authors built a 12,000-sentence multi-dialect corpus. Translators started from English BTEC sentences rather… - MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction (2018 · 13 citations)
MADARi is a web-based tool for annotating social-media Arabic, which is heavily dialectal and full of spelling errors. - Exploiting Dialect Identification in Automatic Dialectal Text Normalization (2024 · 12 citations)
Written Dialectal Arabic has no standard spelling, so the same word can show up in many spontaneous forms. - Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings (2016 · 12 citations)
Automatic metrics for translation into morphologically rich languages handle three cases poorly: they cannot reliably separate wrong word choices, acceptable rephrasings, and inflection errors such as broken agreement or wrong case. - Exploring the Impact of Transliteration on NLP Performance: Treating Maltese as an Arabic Dialect (2023 · 9 citations)
Maltese is a low-resource Semitic language. Its grammar is largely Arabic, but it is written in Latin script and has absorbed many Italian and English words. Script mismatch is known to limit how well multilingual models transfer to related languages. The authors therefore test whether rewriting Maltese in Arabic… - Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching (2024 · 7 citations)
Multilingual encoders transfer poorly to a language whose script differs from that of its related high-resource languages. - LAILA: A Large Trait-Based Dataset for Arabic Automated Essay Scoring (2026 · 6 citations)
Arabic automated essay scoring (AES) has lagged behind English because few public Arabic datasets exist. Those that do are small, have no per-trait labels, or have no labels at all. The authors address this gap with LAILA. Over one academic year, they gathered 7,859 essays from 4,372 students in 24 Qatari high… - Dudley North visits North London: Learning When to Transliterate to Arabic (2013 · 5 citations)
When translating English into Arabic, a named-entity token must either be rendered by meaning (translated) or by sound (transliterated). - Using Ambiguity Detection to Streamline Linguistic Annotation (2016 · 4 citations)
Most written Arabic omits short vowels and other diacritics. This creates orthographic ambiguity on top of ordinary lexical ambiguity, and it makes building diacritized training corpora slow and error-prone. Within the OptDiac project, the authors test whether automatically flagging ambiguous words can make manual… - The Shared Task on Gender Rewriting (2022 · 3 citations)
This paper reports on a shared task, held at WANLP 2022, on gender rewriting for Modern Standard Arabic. The task takes a sentence and produces versions that fit each combination of speaker gender and listener gender. In Arabic, words that refer to the first or second person carry grammatical gender, so a system that… - DALILA: The Dialectal Arabic Linguistic Learning Assistant (2016 · 2 citations)
Learners of Arabic who read real online text keep running into Dialectal Arabic (DA). Tools built for Modern Standard Arabic (MSA) handle it poorly, and general machine translators often fail on dialect words, sometimes just transliterating them. The authors built DALILA, a Google Chrome extension. A user… - ArabDiscrim: A Decade-Long Arabic Facebook Corpus on Racism and Discrimination (2026)
Arabic datasets on hate speech and discrimination have been built almost entirely from Twitter. Facebook has been neglected, even though it reaches several times more users in the MENA region and exposes richer engagement data. ArabDiscrim addresses this gap with 293,056 public Arabic posts from Facebook pages… - JobArabi: An Arabic Corpus and Analysis of Job Announcements from Social Media (2026)
Arabic NLP lacks large, domain-specific resources on recruitment language, even though social media has become a major hiring channel across the MENA region.
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