🧑‍🔬 Paul Rodrigues

🏛️ Affiliations

🎓King Khalid UniversityAbhā · Saudi Arabia2016–2026 · 39 paperscurrent🎓University of Maryland, College ParkCollege Park · United States2009–2021 · 10 papersEmployment 2009–2012 · Faculty Research Assistant, Division of ResearchEmployment 2012–2018 · Assistant Research Scientist, Division of ResearchEmployment 2018–2019 · Associate Research Scientist, Division of Research🎓Velammal Educational TrustChennai · India2012–2018 · 7 papers🏢AccentureNew York · United States2020–2022 · 5 papers🎓Hindustan Institute of Technology and ScienceChennai · India2010–2012 · 5 papers🏢AccentureZurich · Switzerland2018–2021 · 3 papers🎓Anna University, ChennaiChennai · India2008–2016 · 3 papers🏢AccentureLondon · United Kingdom2020–2021 · 2 papers🎓Indiana UniversityBloomington · United States2010–2012 · 2 papers🎓Indiana University BloomingtonBloomington · United States2003–2012 · 1 paperEducation 2003–2012

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Error Correction for Arabic Dictionary Lookup (2010 · 7 citations)
   Learners of Arabic often struggle to find words in electronic dictionaries. They mix up letters that look alike, miss sound contrasts they cannot hear, and stumble over unfamiliar Romanization. Colloquial dialects make all of this harder. The authors built a spelling corrector for lookup in an Iraqi Arabic–English…
2. ArCADE: An Arabic Corpus of Auditory Dictation Errors (2014 · 6 citations)
   Learner corpora for Arabic come almost entirely from written essays. Spelling slips that come from mishearing are rare in such data and hard to tell apart from other errors. Generic spell checkers also handle these errors poorly, because they are tuned to native-speaker mistakes. The authors built ArCADE, a…
3. Arabic Data Science Toolkit: An API for Arabic Language Feature Extraction (2018 · 4 citations)
   The paper presents the Arabic Data Science Toolkit (ADST). It is meant for data scientists who need linguistically informed features from Arabic text but know neither Arabic nor NLP. The authors argue that purely statistical representations such as bag of words work poorly for a morphologically rich language like…

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• C. Anton Rytting ×3
• Tim Buckwalter ×2
• Valerie Novak ×2
• David Zajic

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Language Resources and Evaluation Conference (LREC) ×2: LREC 2018, LREC 2010
• Workshop on Innovative Use of NLP for Building Educational Applications (BEA): BEA 2014

🔗 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 31 October 2026

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