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Although the prediction of dialects is an important language processing task, with a wide range of applications, existing work is largely limited to coarse-grained varieties.
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Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
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Charles A Ferguson. 1959 · 1959
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Jacob Cohen. 1960 · 1960
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Web-a-where: geotagging web content
Einat Amitay, Nadav Har’El, Ron Sivan, and Aya Soffer. 2004 · 2004
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Mapping languages and demographics with georeferenced corpora
Jonathan Dunn and Ben Adams. 2020 · 2004
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The phonology and morphology of Arabic
Janet CE Watson. 2007 · 2007
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Geographic information retrieval: Classification, disambiguation and modelling
Simon E Overell. 2009 · 2009
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Find me if you can: improving geographical prediction with social and spatial proximity
Lars Backstrom, Eric Sun, and Cameron Marlow. 2010 · 2010
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Colaba: Arabic dialect annotation and processing
Mona Diab, Nizar Habash, Owen Rambow, Mohamed Altantawy, and Yassine Benajiba. 2010 · 2010
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Recommending social events from mobile phone location data
Daniele Quercia, Neal Lathia, Francesco Calabrese, Giusy Di Lorenzo, and Jon Crowcroft. 2010 · 2010
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Earthquake shakes Twitter users: real-time event detection by social sensors
Takeshi Sakaki, Makoto Okazaki, and Yutaka Matsuo. 2010 · 2010
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Agreement and cliticization in Arabic varieties from diachronic and synchronic perspectives
Elabbas Benmamoun. 2011 · 2011
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You are what you tweet: Analyzing Twitter for public health
Michael J Paul and Mark Dredze. 2011 · 2011
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The Arabic online commentary dataset: an annotated dataset of informal Arabic with high dialectal content
Omar F Zaidan and Chris Callison-Burch. 2011 · 2011
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Yadac: Yet another dialectal Arabic corpus
Rania Al-Sabbagh and Roxana Girju. 2012 · 2012
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Mapping the geographical diffusion of new words
Jacob Eisenstein. 2012 · 2012
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Simplified guidelines for the creation of large scale dialectal Arabic annotations
Heba Elfardy and Mona T Diab. 2012 · 2012
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Geolocation prediction in social media data by finding location indicative words
Bo Han, Paul Cook, and Timothy Baldwin. 2012 · 2012
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langid. py: An off-the-shelf language identification tool
Marco Lui and Timothy Baldwin. 2012 · 2012
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Supervised text-based geolocation using language models on an adaptive grid
Stephen Roller, Michael Speriosu, Sarat Rallapalli, Benjamin Wing, and Jason Baldridge. 2012 · 2012
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Sentence level dialect identification in Arabic
Heba Elfardy and Mona T Diab. 2013 · 2013
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A stacking-based approach to Twitter user geolocation prediction
Bo Han, Paul Cook, and Timothy Baldwin. 2013 · 2013
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Distributed representations of geographically situated language
David Bamman, Chris Dyer, and Noah A Smith. 2014 · 2014
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
A multi-dialect, multi-genre corpus of informal written Arabic
Ryan Cotterell and Chris Callison-Burch. 2014 · 2014
Cited alongside, same era.
Mapping dialectal variation by querying social media
Gabriel Doyle. 2014 · 2014
Cited alongside, same era.
Crowdsourcing dialect characterization through Twitter
Bruno Gonçalves and David Sánchez. 2014 · 2014
Cited alongside, same era.
Where in the world are you? geolocation and language identification in Twitter
You tweet what you speak: A city-level dataset of Arabic dialects
Muhammad Abdul-Mageed, Hassan Alhuzali, and Mohamed Elaraby. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Twitter user geolocation using deep multiview learning
Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, and Nikos Deligiannis. 2018 · 2018
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A unified neural network model for geolocating Twitter users
Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond Wong, and Fang Chen. 2018 · 2018
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Deep models for Arabic dialect identification on benchmarked data
Mohamed Elaraby and Muhammad Abdul-Mageed. 2018 · 2018
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Mark Graham, Scott A Hale, and Devin Gaffney. 2014 · 2014
Cited alongside, same era.
Text-based Twitter user geolocation prediction
Bo Han, Paul Cook, and Timothy Baldwin. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Using Twitter to collect a multi-dialectal corpus of Arabic
Hamdy Mubarak and Kareem Darwish. 2014 · 2014
Cited alongside, same era.
Automatic identification of Arabic language varieties and dialects in social media
Fatiha Sadat, Farnazeh Kazemi, and Atefeh Farzindar. 2014 · 2014
Cited alongside, same era.
Arabic dialect identification
Omar F Zaidan and Chris Callison-Burch. 2014 · 2014
Cited alongside, same era.
A report on the dsl shared task 2014
Marcos Zampieri, Liling Tan, Nikola Ljubešic, and Jörg Tiedemann. 2014 · 2014
Cited alongside, same era.
ArSAS: An Arabic speech-act and sentiment corpus of tweets
AbdelRahim Elmadany, Hamdy Mubarak, and Walid Magdy. 2018 · 2018
Later among the works it cites.
Shami: A corpus of Levantine Arabic dialects
Chatrine Qwaider, Motaz Saad, Stergios Chatzikyriakidis, and Simon Dobnik. 2018 · 2018
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Fine-grained Arabic dialect identification
Mohammad Salameh and Houda Bouamor. 2018 · 2018
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Arap-tweet: A large multi-dialect Twitter corpus for gender, age and language variety identification
Wajdi Zaghouani and Anis Charfi. 2018 · 2018
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Language identification and morphosyntactic tagging: The second vardial evaluation campaign
Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Ahmed Ali, Suwon Shon, James Glass, Yves Scherrer, Tanja Samardžić, Nikola Ljubešić, Jörg Tiedemann, et al. 2018 · 2018
Later among the works it cites.
The MADAR shared task on Arabic fine-grained dialect identification
Houda Bouamor, Sabit Hassan, and Nizar Habash. 2019 · 2019
Later among the works it cites.
Global syntactic variation in seven languages: Towards a computational dialectology
Jonathan Dunn. 2019 · 2019
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Mazajak: An online Arabic sentiment analyser
Ibrahim Abu Farha and Walid Magdy. 2019 · 2019
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A hierarchical location prediction neural network for Twitter user geolocation
Binxuan Huang and Kathleen M Carley. 2019a · 2019
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A large-scale empirical study of geotagging behavior on Twitter
Binxuan Huang and Kathleen M Carley. 2019b · 2019
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Discriminating between mandarin chinese and swiss-german varieties using adaptive language models
Tommi Sakari Jauhiainen, Heidi Annika Jauhiainen, Bo Krister Johan Linden, et al. 2019 · 2019
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No army, no navy: Bert semi-supervised learning of Arabic dialects
Chiyu Zhang and Muhammad Abdul-Mageed. 2019 · 2019
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NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor, and Nizar Habash. 2020a · 2020
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Arabert: Transformer-based model for Arabic language understanding
Fady Baly, Hazem Hajj, et al. 2020 · 2020
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Arabic sociolinguistics: Topics in diglossia, gender, identity, and politics
Reem Bassiouney. 2020 · 2020
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Alt submission for osact shared task on offensive language detection
Sabit Hassan, Younes Samih, Hamdy Mubarak, Ahmed Abdelali, Ammar Rashed, and Shammur Absar Chowdhury. 2020 · 2020
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Visualizing regional language variation across europe on Twitter
Dirk Hovy, Afshin Rahimi, Timothy Baldwin, and Julian Brooke. 2020 · 2020
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Overview of osact4 Arabic offensive language detection shared task
Hamdy Mubarak, Kareem Darwish, Walid Magdy, Tamer Elsayed, and Hend Al-Khalifa. 2020 · 2020
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Camel tools: An open source python toolkit for Arabic natural language processing
Ossama Obeid, Nasser Zalmout, Salam Khalifa, Dima Taji, Mai Oudah, Bashar Alhafni, Go Inoue, Fadhl Eryani, Alexander Erdmann, and Nizar Habash. 2020 · 2020
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Twitter user location inference based on representation learning and label propagation
Hechan Tian, Meng Zhang, Xiangyang Luo, Fenlin Liu, and Yaqiong Qiao. 2020 · 2020
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Interpreting Twitter user geolocation
Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, and Yi Yang. 2020 · 2020
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