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2020
Conference paper (unpublished)
Assessing the Impact of OCR Quality on Downstream NLP Tasks
A growing volume of heritage data is being digitized and made available as text via optical character recognition (OCR). Scholars and libraries are increasingly using OCR-generated text for retrieval and analysis. However, the process of creating text through OCR introduces varying degrees of error to the text. The impact of... -
2018
Conference paper (published)
Arabic dialect identification in the context of bivalency and code-switching
In this paper we use a novel approach towards Arabic dialect identification using language bivalency and written code-switching. Bivalency between languages or dialects is where a word or element is treated by language users as having a fundamentally similar semantic content in more than one language or dialect. Arabic dialect...El-Haj, Mahmoud ; Rayson, Paul ; Aboelezz, Mariam
Arabic, machine learning, dialects, language identification, NLP, and bivalency