Towards the optical character recognition of DSLs

Resumen

OCR engines aim to identify and extract text strings fromdocuments or images. While current efforts focus mostly inmainstream languages, there is little support for program-ming or domain-specific languages (DSLs). In this paper, wepresent our vision about the current state of OCR recognitionfor DSLs and its challenges. We discuss some strategies toimprove the OCR quality applied to DSL textual expressionsby leveraging DSL specifications and domain data. To bettersupport our ideas we present the preliminary results of anempirical study and outline a research roadmap.

Publicación
SLE 2020 - Proceedings of the 13th ACM SIGPLAN International Conference on Software Language Engineering, Co-located with SPLASH 2020
Jorge Perianez
Jorge Perianez
Investigador

Ingeniero de software y experto en Machine Learning en MétrikaMedia.

Roberto Rodriguez-Echeverria
Roberto Rodriguez-Echeverria
Profesor titular

Profesor titular en la Universidad de Extremadura. Mis intereses de investigación incluyen la Ingeniería del Software, la Ingeniería Dirigida por Modelos, la Ciencia de Datos y el Aprendizaje Automático.