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Towards the Optical Character Recognition of DSLs - Artifact

Authors: Perianez-Pascual, Jorge; Rodríguez-Echeverría, Roberto; Burgueño, Loli; Cabot, Jordi;

Towards the Optical Character Recognition of DSLs - Artifact

Abstract

img2DSL is an image recognition toolkit designed to study how Optical Character Recognition can be applied to images that contain DSL snippets. Using the Object Constraint Language (OCL) as an example of textual DSL and given a dataset of Ecore models (and its OCL expressions), this toolkit encodes the OCL expressions into images and tests how different strategies improve the default OCR quality. In this project we use Tesseract as OCR engine and the different strategies are different OCR models and custom algorithms. In order to evaluate the toolkit and the quality of its different strategies, we load the recognized expressions in the USE tool to measure of how many expressions are valid after the recognition

This work was partially funded by the Spanish Research Project TIN2016-75944-R.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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