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Word segmentation plays a pivotal role in improving any Arabic NLP application.
A new algorithm for data compression
Philip Gage. 1994 · 1994
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Arabic finite-state morphological analysis and generation
Kenneth R Beesley. 1996 · 1996
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Tnt: A statistical part-of-speech tagger
Thorsten Brants. 2000 · 2000
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001 · 2001
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On Arabic-English cross-language information retrieval: A machine translation approach
O. Frieder M. Aljlayl and D. Grossman. 2002 · 2002
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Automatic tagging of arabic text: From raw text to base phrase chunks
Mona Diab, Kadri Hacioglu, and Daniel Jurafsky. 2004 · 2004
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Arabic tokenization, part-of-speech tagging and morphological disambiguation in one fell swoop
Nizar Habash and Owen Rambow. 2005 · 2005
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Arabic preprocessing schemes for statistical machine translation
Nizar Habash and Fatiha Sadat. 2006 · 2006
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Vera Demberg. 2007 · 2007
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Arabic treebank: Part 3 v 3.2 ldc2010t08. web download
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Domain adaptation via pseudo in-domain data selection
Amittai Axelrod, Xiaodong He, and Jianfeng Gao. 2011 · 2011
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Ahmed El Kholy and Nizar Habash. 2012 · 2012
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Combining word-level and character-level models for machine translation between closely-related languages
Preslav Nakov and Jörg Tiedemann. 2012 · 2012
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Unsupervised morphology rivals supervised morphology for arabic mt
David Stallard, Jacob Devlin, Michael Kayser, Yoong Keok Lee, and Regina Barzilay. 2012 · 2012
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The AMARA corpus: Building resources for translating the web’s educational content
Francisco Guzmán, Hassan Sajjad, Stephan Vogel, and Ahmed Abdelali. 2013 · 2013
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First result on Arabic neural machine translation
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Yonatan Belinkov and James Glass. 2016 · 2016
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Nadir Durrani, Fahim Dalvi, Hassan Sajjad, and Stephan Vogel. 2016 · 2016
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Salam Khalifa, Nasser Zalmout, and Nizar Habash. 2016 · 2016
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Yoon Kim, Yacine Jernite, David Sontag, and Alexander Rush. 2016 · 2016
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Nizar Habash, Ryan Roth, Owen Rambow, Ramy Esk, and Nadi Tomeh. 2013 · 2013
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QCRI at IWSLT 2013: Experiments in Arabic-English and English-Arabic spoken language translation
Hassan Sajjad, Francisco Guzmán, Preslav Nakov, Ahmed Abdelali, Kenton Murray, Fahad Al Obaidli, and Stephan Vogel. 2013 · 2013
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Morfessor 2.0: Python implementation and extensions for morfessor baseline
Peter Smit Stig-Arne Grönroos Sami Virpioja and Mikko Kurimo. 2013 · 2013
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Integrating an unsupervised transliteration model into statistical machine translation
Nadir Durrani, Hassan Sajjad, Hieu Hoang, and Philipp Koehn. 2014 · 2014
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MADAMIRA: A fast, comprehensive tool for morphological analysis and disambiguation of Arabic
Arfath Pasha, Mohamed Al-Badrashiny, Mona Diab, Ahmed El Kholy, Ramy Eskander, Nizar Habash, Manoj Pooleery, Owen Rambow, and Ryan M Roth. 2014 · 2014
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Character-based neural machine translation
Wang Ling, Isabel Trancoso, Chris Dyer, and Alan W. Black. 2015 · 2015
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Farasa: A fast and furious segmenter for arabic
Ahmed Abdelali, Kareem Darwish, Nadir Durrani, and Hamdy Mubarak. 2016 · 2016
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Character-based neural machine translation
Wang Ling, Isabel Trancoso, Chris Dyer, and Alan W. Black. 2016 · 2016
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
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What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, and James Glass. 2017 · 2017
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Character-based neural machine translation
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