---
title: "Who cites Handling Unknown Words in — 24 citing papers"
description: "24 papers of the Elamur Research library cite «Handling Unknown Words in Statistical Latent-Variable Parsing Models for Arabic, English and…"
canonical: "https://research.elamur.ai/free/en/papers/attia-2010-handling-unknown-words-statistical-latent/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Handling Unknown Words in Statistical…](https://md.research.elamur.ai/free/en/papers/attia-2010-handling-unknown-words-statistical-latent/) / cited by

# Who cites «Handling Unknown Words in Statistical Latent-Variable Parsing Models for Arabic, English and French»

24 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «Handling Unknown Words in Statistical Latent-Variable Parsing Models for Arabic, English and French»](https://md.research.elamur.ai/free/en/papers/attia-2010-handling-unknown-words-statistical-latent/)

1. **[Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages](https://md.research.elamur.ai/free/en/papers/seddah-2013-overview-spmrl-2013-shared-task/) [Workshop on Statistical Parsing of Morphologically-Rich Languages](https://md.research.elamur.ai/free/en/venues/workshop-on-statistical-parsing-of-morphologically-rich-languages/)**Djamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.*2013 · 245 citations*
2. **[Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither](https://md.research.elamur.ai/free/en/papers/tsarfaty-2010-statistical-parsing-morphologically-rich-languages/) [NAACL HLT Workshop on Statistical Parsing of Morphologically-Rich Languages](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-statistical-parsing-of-morphologically-rich-languages/)**Reut Tsarfaty, Djamé Seddah, Yoav Goldberg, et al.*2010 · 158 citations*
3. **[Parsing Models for Identifying Multiword Expressions](https://md.research.elamur.ai/free/en/papers/green-2013-parsing-models-identifying-multiword-expressions/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Spence Green, Marie-Catherine de Marneffe, Christopher D. Manning*2013 · 110 citations*
4. [**Word Segmentation, Unknown-word Resolution, and Morphological Agreement in a Hebrew Parsing System**Yoav Goldberg, Michael Elhadad*2013 · 39 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2013-word-segmentation-unknown-word-resolution/)
5. [**Morphological Features for Parsing Morphologically-rich Languages: A Case of Arabic**Jon Dehdari, Lamia Tounsi, Josef van Genabith*2011 · 19 citations*](https://md.research.elamur.ai/free/en/papers/dehdari-2011-morphological-features-parsing-morphologically-rich/)
6. [**A Cross-Task Flexible Transition Model for Arabic Tokenization, Affix Detection, Affix Labeling, POS Tagging, and Dependency Parsing**Stephen Tratz*2013 · 7 citations*](https://md.research.elamur.ai/free/en/papers/tratz-2013-cross-task-flexible-transition-model/)
7. **[The Floating Arabic Dictionary: An Automatic Method for Updating a Lexical Database through the Detection and Lemmatization of Unknown Words](https://md.research.elamur.ai/free/en/papers/attia-2012-floating-arabic-dictionary-automatic-method/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mohammed Attia, Younes Samih, Khaled Shaalan, et al.*2012 · 2 citations*
8. **[A rule-based approach to unknown word recognition in Arabic](https://md.research.elamur.ai/free/en/papers/cahill-2012-rule-based-approach-unknown-word/) [Meeting of the Special Interest Group on Computational Morphology and Phonology](https://md.research.elamur.ai/free/en/venues/meeting-of-the-special-interest-group-on-computational-morphology-and-phonology/)**Lynne Cahill*2012*

16 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/attia-2010-handling-unknown-words-statistical-latent/) — Handling Unknown Words in Statistical Latent-Variable Parsing Models for Arabic, English and French
