---
title: "Nizar Habash — papers of 2017 — 10 papers, the most cited first"
description: "Nizar Habash — papers of 2017: 10 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Nizar Habash — papers of 2017 — 10 papers, the most cited first

10 papers · [all years of Nizar Habash](https://md.research.elamur.ai/free/en/authors/nizar-habash/#years)

- [CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies](https://md.research.elamur.ai/free/en/papers/zeman-2017-conll-2017-shared-task-multilingual/) — Daniel Zeman, Martin Popel, Milan Straka, et al. · English · 604 citations
- [Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic](https://md.research.elamur.ai/free/en/papers/zalmout-2017-don-t-throw-those-morphological/) — Nasser Zalmout, Nizar Habash · Semitic languages · 97 citations

**[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*

**[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*

- [Universal Dependencies for Arabic](https://md.research.elamur.ai/free/en/papers/taji-2017-universal-dependencies-arabic/) — Dima Taji, Nizar Habash, Daniel Zeman · Semitic languages · 53 citations

**[OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model](https://md.research.elamur.ai/free/en/papers/baly-2017-omam-semeval-2017-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Ramy Baly, Gilbert Badaro, Ali Hamdi, et al.*2017 · 33 citations*

**[A Parallel Corpus for Evaluating Machine Translation between Arabic and European Languages](https://md.research.elamur.ai/free/en/papers/habash-2017-parallel-corpus-evaluating-machine-translation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Nizar Habash, Nasser Zalmout, Dima Taji, et al.*2017 · 30 citations*

**[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*

**[OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields](https://md.research.elamur.ai/free/en/papers/onyibe-2017-omam-semeval-2017-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Chukwuyem Onyibe, Nizar Habash*2017 · 12 citations*

**[NLP for Arabic and Related Languages](https://md.research.elamur.ai/free/en/papers/diab-2017-nlp-arabic-related-languages/) [Traitement Automatique des Langues](https://md.research.elamur.ai/free/en/venues/tal/)**Mona Diab, Nizar Habash, Imed Zitouni*2017 · 5 citations*