--- title: "Who cites Creating Resources for Dialectal — 12 citing papers" description: "12 papers of the Elamur Research library cite «Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian…" canonical: "https://research.elamur.ai/free/en/papers/eskander-2016-creating-resources-dialectal-arabic-single/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/eskander-2016-creating-resources-dialectal-arabic-single/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Creating Resources for Dialectal Arabic from a…](https://md.research.elamur.ai/free/en/papers/eskander-2016-creating-resources-dialectal-arabic-single/) / cited by # Who cites «Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine» 12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine»](https://md.research.elamur.ai/free/en/papers/eskander-2016-creating-resources-dialectal-arabic-single/) 1. **[A Morphological Analyzer for Gulf Arabic Verbs](https://md.research.elamur.ai/free/en/papers/khalifa-2017-morphological-analyzer-gulf-arabic-verbs/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Salam Khalifa, Sara Hassan, Nizar Habash*2017 · 83 citations* 2. **[A Morphologically Annotated Corpus of Emirati Arabic](https://md.research.elamur.ai/free/en/papers/khalifa-2018-morphologically-annotated-corpus-emirati-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Salam Khalifa, Nizar Habash, Fadhl Eryani, et al.*2018 · 73 citations* 3. **[A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models](https://md.research.elamur.ai/free/en/papers/baly-2017-characterization-study-arabic-twitter-data/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ramy Baly, Gilbert Badaro, Georges El-Khoury, et al.*2017 · 67 citations* 4. **[Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects](https://md.research.elamur.ai/free/en/papers/inoue-2022-morphosyntactic-tagging-pre-trained-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Go Inoue, Salam Khalifa, Nizar Habash*2022 · 58 citations* 5. [**Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan**Faisal Alshargi, Shahd Dibas, Sakhar Alkhereyf, et al.*2019 · 34 citations*](https://md.research.elamur.ai/free/en/papers/alshargi-2019-morphologically-annotated-corpora-seven-arabic/) 6. [**Camelira: An Arabic Multi-Dialect Morphological Disambiguator**Ossama Obeid, Go Inoue, Nizar Habash*2022 · 27 citations*](https://md.research.elamur.ai/free/en/papers/obeid-2022-camelira-arabic-multi-dialect-morphological/) 7. [**Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods**Salam Khalifa, Nasser Zalmout, Nizar Habash*2020 · 25 citations*](https://md.research.elamur.ai/free/en/papers/khalifa-2020-morphological-analysis-disambiguation-gulf-arabic/) 8. **[Complementary Strategies for Low Resourced Morphological Modeling](https://md.research.elamur.ai/free/en/papers/erdmann-2018-complementary-strategies-low-resourced-morphological/) [Workshop on Computational Research in Phonetics, Phonology, and Morphology](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-research-in-phonetics-phonology-and-morphology/)**Alexander Erdmann, Nizar Habash*2018 · 18 citations* 9. **[Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/erdmann-2017-low-resourced-machine-translation-morpho/) [Machine Translation Summit (MT Summit)](https://md.research.elamur.ai/free/en/venues/mtsummit/)**Alexander Erdmann, Nizar Habash, Dima Taji, et al.*2017 · 14 citations* 10. **[Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data](https://md.research.elamur.ai/free/en/papers/alghamdi-2019-leveraging-pretrained-word-embeddings-part/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Fahad AlGhamdi, Mona Diab*2019 · 11 citations* 2 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/eskander-2016-creating-resources-dialectal-arabic-single/) — Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine