Who cites «A Neural Architecture for Dialectal Arabic Segmentation»
12 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- Lost In Variation : extraction non-supervisée de motifs lexico-syntaxiques dans des textes en moyen arabe — 2025 · Actes des 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 2 : traductions d''articles publiés
- Improving POS Tagging for Arabic Dialects on Out-of-Domain Texts — 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
- QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR — 2021 · arXiv:2105.14779
- A Joint Approach to Compound Splitting and Idiomatic Compound Detection — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods — our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Arabic natural language processing: An overview — 2019 · arXiv:1903.02784
- Segmentation for Domain Adaptation in Arabic — 2019 · Proceedings of the Fourth Arabic Natural Language Processing Workshop
- Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations — 2018 · arXiv:1807.05206 · IEEE Access 2019
- Impact du Prétraitement Linguistique sur l'Analyse de Sentiment du Dialecte Tunisien () — 2018 · Actes de la Conférence TALN. Volume 1 - Articles longs, articles courts de TALN
- Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM — our card · 2017 · arXiv:1708.05891
- Learning from Relatives: Unified Dialectal Arabic Segmentation — 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)